LFM2.5-2.6B -> Core AI: decode int8hu (--head-sym) + int4lin, oracle gate 16/16 both
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- LICENSE +71 -0
- README.md +101 -0
- config.json +73 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/main.hash +1 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/main.mlirb +3 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/metadata.json +5 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/metadata.json +28 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/chat_template.jinja +125 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/special_tokens_map.json +5 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/tokenizer.json +3 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/tokenizer_config.json +1003 -0
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- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/lfm2_5_2_6b_decode_int8hu_block32_sym.aimodel/metadata.json +5 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/metadata.json +28 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/chat_template.jinja +125 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/special_tokens_map.json +5 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/tokenizer.json +3 -0
- gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/tokenizer_config.json +1003 -0
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LICENSE
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README.md
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---
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license: other
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license_name: lfm1.0
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license_link: LICENSE
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base_model: LiquidAI/LFM2.5-2.6B
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tags:
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- coreai
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- aimodel
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- apple-silicon
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- on-device
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- lfm2
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- hybrid
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pipeline_tag: text-generation
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---
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# LFM2.5-2.6B — Apple Core AI (`.aimodel`)
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**LiquidAI's LFM2.5-2.6B converted to Apple's Core AI** (the Core ML successor announced at
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WWDC26), ready to run on iOS 27 / macOS 27. Same conv + full-attention hybrid as the
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[1.2B](https://huggingface.co/mlboydaisuke/LFM2.5-1.2B-CoreAI), scaled to **30 layers = 22
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short-conv mixers + 8 GQA attention layers**, hidden 2048, MLP 10 752, 32 q / 8 kv heads,
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| 22 |
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vocab 128 000. No recurrent scan anywhere, so the decode graph is loop-free by construction and
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rides Apple's **`coreai-pipelined` GPU engine** with one fixed-shape conv state and no custom
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kernels.
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This is a **reasoning model** — the chat template ends the generation prompt with an open
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`<think>`, and generations spend their first few hundred tokens thinking. Budget `max-tokens`
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accordingly; a 200-token cap regularly ends mid-thought.
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> Requires the iOS 27 / macOS 27 beta (Core AI ships with the OS). Conversion code, gates and
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> knowledge base: **[coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo)**.
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## Bundles
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| path | size | prompt tok/s | decode tok/s | oracle gate |
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|---|---:|---:|---:|---|
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| `gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym` | 3.4 GB | 139.5 | **116.7** | **PASS 16/16** |
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| `gpu-pipelined/lfm2_5_2_6b_decode_int4lin` | **2.0 GB** | 170.6 | **139.2** | **PASS 16/16** |
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| 39 |
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| 40 |
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M4 Max, macOS 27.0 (26A5378n), Xcode 27.0 (27A5218g), `coreai-torch 0.4.1`,
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| 41 |
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`llm-benchmark -p 128 -g 256 -n 3`, `COREAI_CHUNK_THRESHOLD=1`. The gate compares the exported
|
| 42 |
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bundle's greedy decode token-for-token against the fp32 eager oracle; transcripts are in the
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| 43 |
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[zoo card directory](https://github.com/john-rocky/coreai-model-zoo/tree/main/models/lfm2.5-2.6b).
|
| 44 |
+
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| 45 |
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**No iPhone numbers are published here because none were measured.**
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| 46 |
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| 47 |
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`int8hu` is the quality ship. The head is 128 000 × 2048 = 262 M parameters, so leaving it fp16
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| 48 |
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costs 524 MB of reads per token; untying and quantizing it to int8 buys **+8.6 % decode** over
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| 49 |
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plain `int8lin` (the 1.2B saw +9.3 % for the same reason). The bundle gets *bigger* — 3.2 → 3.4 GB
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| 50 |
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— because untying stores an fp16 embedding and an int8 head instead of one shared table. That is
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| 51 |
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the trade working, not a regression. `int8lin` is not published: slower than `int8hu` and only
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| 52 |
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0.2 GB smaller, so it has no case of its own.
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| 53 |
+
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| 54 |
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`int4lin` did not hit the int4 quality cliff, which is worth saying because this family usually
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| 55 |
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does. Beyond the 16/16 gate, four long greedy generations were read in full — an algorithmic
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| 56 |
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explanation, iterative Fibonacci with complexity analysis, a clock-arithmetic word problem and a
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| 57 |
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Japanese instruction — with grammar intact, arithmetic correct and code correct. Four prompts are
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| 58 |
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not a benchmark: read this as *no cliff observed*, not *int4 is free*.
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| 59 |
+
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| 60 |
+
If you are sizing for a phone, note that 524 MB of the 2.0 GB `int4lin` bundle is the still-fp16
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| 61 |
+
embedding. The remaining size lever on this model is the embedding, not the layers.
|
| 62 |
+
|
| 63 |
+
## Run it
|
| 64 |
+
|
| 65 |
+
```bash
|
| 66 |
+
git clone https://github.com/apple/coreai-models # + the zoo's engine patches, see below
|
| 67 |
+
swift build -c release --product llm-runner
|
| 68 |
+
|
| 69 |
+
COREAI_CHUNK_THRESHOLD=1 .build/release/llm-runner \
|
| 70 |
+
--model gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym \
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| 71 |
+
--prompt "Explain why a hash table lookup is O(1) on average but O(n) in the worst case." \
|
| 72 |
+
--max-tokens 512 --sampling-strategy greedy \
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| 73 |
+
--inference-engine-variant coreai-pipelined --warmup off
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| 74 |
+
```
|
| 75 |
+
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| 76 |
+
`--warmup off` matters: default warmup submits a synthetic 256-token prefill, and these bundles
|
| 77 |
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are static-S=1, so it fails with a shape-substitution error before generating anything. The
|
| 78 |
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`coreai-pipelined-extra-states` patch (which carries the conv state) is in the zoo under `apps/`.
|
| 79 |
+
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| 80 |
+
## Converting this family yourself
|
| 81 |
+
|
| 82 |
+
Two config traps in this checkpoint generation, both silent — nothing raises, and a bundle built
|
| 83 |
+
without the fix looks like it worked:
|
| 84 |
+
|
| 85 |
+
1. **RoPE theta moved.** These are transformers-v5-era configs carrying
|
| 86 |
+
`rope_parameters: {rope_theta: 1e7}` instead of a flat `rope_theta`. Read only the flat key and
|
| 87 |
+
you fall back to the 1.2B's `1e6` and mis-rotate every position, with no error.
|
| 88 |
+
2. **The tokenizer class does not exist yet.** `tokenizer_config.json` declares
|
| 89 |
+
`tokenizer_class: "TokenizersBackend"`, which a transformers-4.x `AutoTokenizer` cannot resolve.
|
| 90 |
+
The chat template also lives in its own `chat_template.jinja` in this era, so the obvious
|
| 91 |
+
workaround ships a bundle with no template. Load `tokenizer.json` directly and carry the
|
| 92 |
+
template across.
|
| 93 |
+
|
| 94 |
+
Both are handled in
|
| 95 |
+
[`conversion/export_lfm2_decode_pipelined.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/export_lfm2_decode_pipelined.py).
|
| 96 |
+
|
| 97 |
+
## License
|
| 98 |
+
|
| 99 |
+
LFM Open License v1.0, carried from
|
| 100 |
+
[`LiquidAI/LFM2.5-2.6B`](https://huggingface.co/LiquidAI/LFM2.5-2.6B) (revision
|
| 101 |
+
`ab00687315bc1298e9d54e9c4b611dde9867ccc2`). Not affiliated with Apple or LiquidAI.
|
config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Lfm2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"block_auto_adjust_ff_dim": false,
|
| 6 |
+
"block_dim": 2048,
|
| 7 |
+
"block_ffn_dim_multiplier": 1.0,
|
| 8 |
+
"block_mlp_init_scale": 1.0,
|
| 9 |
+
"block_multiple_of": 256,
|
| 10 |
+
"block_norm_eps": 1e-05,
|
| 11 |
+
"block_out_init_scale": 1.0,
|
| 12 |
+
"block_use_swiglu": true,
|
| 13 |
+
"block_use_xavier_init": true,
|
| 14 |
+
"bos_token_id": 124894,
|
| 15 |
+
"conv_L_cache": 3,
|
| 16 |
+
"conv_bias": false,
|
| 17 |
+
"conv_dim": 2048,
|
| 18 |
+
"conv_use_xavier_init": true,
|
| 19 |
+
"dtype": "bfloat16",
|
| 20 |
+
"eos_token_id": 124900,
|
| 21 |
+
"hidden_size": 2048,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 10752,
|
| 24 |
+
"layer_types": [
|
| 25 |
+
"conv",
|
| 26 |
+
"conv",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"conv",
|
| 29 |
+
"conv",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"conv",
|
| 32 |
+
"conv",
|
| 33 |
+
"conv",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"conv",
|
| 36 |
+
"conv",
|
| 37 |
+
"conv",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"conv",
|
| 40 |
+
"conv",
|
| 41 |
+
"conv",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"conv",
|
| 44 |
+
"conv",
|
| 45 |
+
"conv",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"conv",
|
| 48 |
+
"conv",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"conv",
|
| 51 |
+
"conv",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"conv",
|
| 54 |
+
"conv"
|
| 55 |
+
],
|
| 56 |
+
"max_position_embeddings": 131072,
|
| 57 |
+
"model_type": "lfm2",
|
| 58 |
+
"norm_eps": 1e-05,
|
| 59 |
+
"num_attention_heads": 32,
|
| 60 |
+
"num_heads": 32,
|
| 61 |
+
"num_hidden_layers": 30,
|
| 62 |
+
"num_key_value_heads": 8,
|
| 63 |
+
"pad_token_id": 124893,
|
| 64 |
+
"rope_parameters": {
|
| 65 |
+
"rope_theta": 10000000.0,
|
| 66 |
+
"rope_type": "default"
|
| 67 |
+
},
|
| 68 |
+
"tie_word_embeddings": true,
|
| 69 |
+
"transformers_version": "5.2.0",
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"use_pos_enc": true,
|
| 72 |
+
"vocab_size": 128000
|
| 73 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/main.hash
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
�Rs�W���/�i)�"
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/main.mlirb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa527303ba57dbdcc82f90026929b7220d8aaeba1377c36c67cee36706dc8a9e
|
| 3 |
+
size 2183167780
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/lfm2_5_2_6b_decode_int4lin.aimodel/metadata.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"assetVersion" : "2.0",
|
| 3 |
+
"producer" : "coreai-core 1.0.0b2",
|
| 4 |
+
"creationDate" : "20260814T020943Z"
|
| 5 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/metadata.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata_version": "0.2",
|
| 3 |
+
"kind": "llm",
|
| 4 |
+
"name": "lfm2_5_2_6b_decode_int4lin",
|
| 5 |
+
"assets": {
|
| 6 |
+
"main": "lfm2_5_2_6b_decode_int4lin.aimodel"
|
| 7 |
+
},
|
| 8 |
+
"language": {
|
| 9 |
+
"tokenizer": "LiquidAI/LFM2.5-2.6B",
|
| 10 |
+
"vocab_size": 128000,
|
| 11 |
+
"max_context_length": 4096,
|
| 12 |
+
"embedded_tokenizer": true,
|
| 13 |
+
"function_map": {
|
| 14 |
+
"main": [
|
| 15 |
+
"main"
|
| 16 |
+
]
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"source": {
|
| 20 |
+
"model_definition": "torch",
|
| 21 |
+
"hf_model_id": "LiquidAI/LFM2.5-2.6B"
|
| 22 |
+
},
|
| 23 |
+
"compression": null,
|
| 24 |
+
"compilation": {
|
| 25 |
+
"date": "2026-08-14T02:09:44.458605+00:00",
|
| 26 |
+
"targets": []
|
| 27 |
+
}
|
| 28 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set preserve_thinking = preserve_thinking | default(false) -%}
|
| 3 |
+
|
| 4 |
+
{%- macro format_arg_value(arg_value) -%}
|
| 5 |
+
{%- if arg_value is string -%}
|
| 6 |
+
{{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
|
| 7 |
+
{%- elif arg_value is mapping or arg_value is iterable -%}
|
| 8 |
+
{{- arg_value | tojson -}}
|
| 9 |
+
{%- else -%}
|
| 10 |
+
{{- arg_value | string -}}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- endmacro -%}
|
| 13 |
+
|
| 14 |
+
{%- macro parse_content(content) -%}
|
| 15 |
+
{%- if content is string -%}
|
| 16 |
+
{{- content -}}
|
| 17 |
+
{%- elif content is mapping -%}
|
| 18 |
+
{{- content | tojson -}}
|
| 19 |
+
{%- elif content is iterable -%}
|
| 20 |
+
{%- set _ns = namespace(result="") -%}
|
| 21 |
+
{%- for item in content -%}
|
| 22 |
+
{%- if item is string -%}
|
| 23 |
+
{%- set _ns.result = _ns.result + item -%}
|
| 24 |
+
{%- elif item is mapping and item.get("type") == "image" -%}
|
| 25 |
+
{%- set _ns.result = _ns.result + "<image>" -%}
|
| 26 |
+
{%- elif item is mapping and item.get("type") == "text" -%}
|
| 27 |
+
{%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
|
| 28 |
+
{%- else -%}
|
| 29 |
+
{%- set _ns.result = _ns.result + (item | tojson) -%}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{%- endfor -%}
|
| 32 |
+
{{- _ns.result -}}
|
| 33 |
+
{%- endif -%}
|
| 34 |
+
{%- endmacro -%}
|
| 35 |
+
|
| 36 |
+
{%- macro render_tool_calls(tool_calls) -%}
|
| 37 |
+
{%- set tool_calls_ns = namespace(tool_calls=[]) -%}
|
| 38 |
+
{%- for tool_call in tool_calls -%}
|
| 39 |
+
{%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
|
| 40 |
+
{%- set func_name = func["name"] -%}
|
| 41 |
+
{%- set func_args = func.get("arguments") -%}
|
| 42 |
+
{%- set args_ns = namespace(arg_strings=[]) -%}
|
| 43 |
+
{%- if func_args is mapping -%}
|
| 44 |
+
{%- for arg_name, arg_value in func_args.items() -%}
|
| 45 |
+
{%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
|
| 46 |
+
{%- endfor -%}
|
| 47 |
+
{%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
|
| 48 |
+
{{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
|
| 49 |
+
{%- endif -%}
|
| 50 |
+
{%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
|
| 51 |
+
{%- endfor -%}
|
| 52 |
+
{{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
|
| 53 |
+
{%- endmacro -%}
|
| 54 |
+
|
| 55 |
+
{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
|
| 56 |
+
{%- if messages and messages[0]["role"] == "system" -%}
|
| 57 |
+
{%- if messages[0].get("content") -%}
|
| 58 |
+
{%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- set messages = messages[1:] -%}
|
| 61 |
+
{%- endif -%}
|
| 62 |
+
{%- if tools -%}
|
| 63 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
|
| 64 |
+
{%- for tool in tools -%}
|
| 65 |
+
{%- if tool is not string -%}
|
| 66 |
+
{%- set tool = tool | tojson -%}
|
| 67 |
+
{%- endif -%}
|
| 68 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 69 |
+
{%- if not loop.last -%}
|
| 70 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 71 |
+
{%- endif -%}
|
| 72 |
+
{%- endfor -%}
|
| 73 |
+
{%- set ns.system_prompt = ns.system_prompt + "]" -%}
|
| 74 |
+
{%- endif -%}
|
| 75 |
+
{%- if ns.system_prompt -%}
|
| 76 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 77 |
+
{%- endif -%}
|
| 78 |
+
{%- for message in messages -%}
|
| 79 |
+
{%- if message["role"] == "user" -%}
|
| 80 |
+
{%- set ns.last_user_index = loop.index0 -%}
|
| 81 |
+
{%- endif -%}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
{%- for message in messages -%}
|
| 84 |
+
{{- "<|im_start|>" + message.role + "\n" -}}
|
| 85 |
+
{%- if message.role == "assistant" -%}
|
| 86 |
+
{%- generation -%}
|
| 87 |
+
{%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}
|
| 88 |
+
{%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
|
| 89 |
+
{%- set thinking = thinking if thinking is string else "" -%}
|
| 90 |
+
{%- if thinking and keep_thinking -%}
|
| 91 |
+
{{- "<think>" + thinking + "</think>" -}}
|
| 92 |
+
{%- endif -%}
|
| 93 |
+
{%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
|
| 94 |
+
{%- set _has_cfm = false -%}
|
| 95 |
+
{%- set content = "" -%}
|
| 96 |
+
{%- if message.get("content") -%}
|
| 97 |
+
{%- set content = parse_content(message.content) -%}
|
| 98 |
+
{%- endif -%}
|
| 99 |
+
{%- if not keep_thinking and "</think>" in content -%}
|
| 100 |
+
{%- set content = content.split("</think>")[-1] | trim -%}
|
| 101 |
+
{%- endif -%}
|
| 102 |
+
{%- if content.endswith(_cfm_tag) -%}
|
| 103 |
+
{%- set _has_cfm = true -%}
|
| 104 |
+
{%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
|
| 105 |
+
{%- set content = content[:_trunc_len] -%}
|
| 106 |
+
{%- endif -%}
|
| 107 |
+
{{- content -}}
|
| 108 |
+
{%- if message.tool_calls -%}
|
| 109 |
+
{{- render_tool_calls(message.tool_calls) -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
{%- if _has_cfm -%}
|
| 112 |
+
{{- _cfm_tag -}}
|
| 113 |
+
{%- endif -%}
|
| 114 |
+
{{- "<|im_end|>\n" -}}
|
| 115 |
+
{%- endgeneration -%}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{%- if message.get("content") -%}
|
| 118 |
+
{{- parse_content(message["content"]) -}}
|
| 119 |
+
{%- endif -%}
|
| 120 |
+
{{- "<|im_end|>\n" -}}
|
| 121 |
+
{%- endif %}
|
| 122 |
+
{%- endfor -%}
|
| 123 |
+
{%- if add_generation_prompt -%}
|
| 124 |
+
{{- "<|im_start|>assistant\n<think>" -}}
|
| 125 |
+
{%- endif -%}
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<|startoftext|>",
|
| 3 |
+
"eos_token": "<|im_end|>",
|
| 4 |
+
"pad_token": "<|pad|>"
|
| 5 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41
|
| 3 |
+
size 17905598
|
gpu-pipelined/lfm2_5_2_6b_decode_int4lin/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1003 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"124893": {
|
| 4 |
+
"content": "<|pad|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"124894": {
|
| 12 |
+
"content": "<|startoftext|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"124895": {
|
| 20 |
+
"content": "<|endoftext|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"124896": {
|
| 28 |
+
"content": "<|fim_pre|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"124897": {
|
| 36 |
+
"content": "<|fim_mid|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"124898": {
|
| 44 |
+
"content": "<|fim_suf|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"124899": {
|
| 52 |
+
"content": "<|im_start|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
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"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"124900": {
|
| 60 |
+
"content": "<|im_end|>",
|
| 61 |
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"lstrip": false,
|
| 62 |
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"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
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"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
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"124901": {
|
| 68 |
+
"content": "<think>",
|
| 69 |
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"lstrip": false,
|
| 70 |
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"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
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"single_word": false,
|
| 73 |
+
"special": false
|
| 74 |
+
},
|
| 75 |
+
"124902": {
|
| 76 |
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"content": "</think>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
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"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
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"single_word": false,
|
| 81 |
+
"special": false
|
| 82 |
+
},
|
| 83 |
+
"124903": {
|
| 84 |
+
"content": "<|tool_list_start|>",
|
| 85 |
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"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"124904": {
|
| 92 |
+
"content": "<|tool_list_end|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"124905": {
|
| 100 |
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"content": "<|tool_call_start|>",
|
| 101 |
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"lstrip": false,
|
| 102 |
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"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": false
|
| 106 |
+
},
|
| 107 |
+
"124906": {
|
| 108 |
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"content": "<|tool_call_end|>",
|
| 109 |
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"lstrip": false,
|
| 110 |
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"normalized": false,
|
| 111 |
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"rstrip": false,
|
| 112 |
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"single_word": false,
|
| 113 |
+
"special": false
|
| 114 |
+
},
|
| 115 |
+
"124907": {
|
| 116 |
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"content": "<image>",
|
| 117 |
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"lstrip": false,
|
| 118 |
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"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
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"single_word": false,
|
| 121 |
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"special": true
|
| 122 |
+
},
|
| 123 |
+
"124908": {
|
| 124 |
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"content": "<|img_row_1_col_1|>",
|
| 125 |
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"lstrip": false,
|
| 126 |
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|
| 127 |
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"rstrip": false,
|
| 128 |
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|
| 129 |
+
"special": true
|
| 130 |
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},
|
| 131 |
+
"124909": {
|
| 132 |
+
"content": "<|img_row_1_col_2|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
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"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"124910": {
|
| 140 |
+
"content": "<|img_row_1_col_3|>",
|
| 141 |
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"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
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"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"124911": {
|
| 148 |
+
"content": "<|img_row_1_col_4|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
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"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"124912": {
|
| 156 |
+
"content": "<|img_row_1_col_5|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"124913": {
|
| 164 |
+
"content": "<|img_row_1_col_6|>",
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
+
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|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"124914": {
|
| 172 |
+
"content": "<|img_row_1_col_7|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
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|
| 175 |
+
"rstrip": false,
|
| 176 |
+
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|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"124915": {
|
| 180 |
+
"content": "<|img_row_1_col_8|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"124916": {
|
| 188 |
+
"content": "<|img_row_1_col_9|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"124917": {
|
| 196 |
+
"content": "<|img_row_1_col_10|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"124918": {
|
| 204 |
+
"content": "<|img_row_2_col_1|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
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|
| 207 |
+
"rstrip": false,
|
| 208 |
+
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|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"124919": {
|
| 212 |
+
"content": "<|img_row_2_col_2|>",
|
| 213 |
+
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|
| 214 |
+
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|
| 215 |
+
"rstrip": false,
|
| 216 |
+
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|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"124920": {
|
| 220 |
+
"content": "<|img_row_2_col_3|>",
|
| 221 |
+
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|
| 222 |
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|
| 223 |
+
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|
| 224 |
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|
| 225 |
+
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|
| 226 |
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},
|
| 227 |
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"124921": {
|
| 228 |
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"content": "<|img_row_2_col_4|>",
|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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},
|
| 235 |
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"124922": {
|
| 236 |
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"content": "<|img_row_2_col_5|>",
|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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},
|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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},
|
| 251 |
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|
| 252 |
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"content": "<|img_row_2_col_7|>",
|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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},
|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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},
|
| 267 |
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|
| 268 |
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"content": "<|img_row_2_col_9|>",
|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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},
|
| 275 |
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"124927": {
|
| 276 |
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"content": "<|img_row_2_col_10|>",
|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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},
|
| 283 |
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|
| 284 |
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"content": "<|img_row_3_col_1|>",
|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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},
|
| 291 |
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|
| 292 |
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"content": "<|img_row_3_col_2|>",
|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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},
|
| 299 |
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|
| 300 |
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"content": "<|img_row_3_col_3|>",
|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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},
|
| 307 |
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|
| 308 |
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"content": "<|img_row_3_col_4|>",
|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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"special": true
|
| 314 |
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},
|
| 315 |
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|
| 316 |
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"content": "<|img_row_3_col_5|>",
|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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},
|
| 323 |
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|
| 324 |
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"content": "<|img_row_3_col_6|>",
|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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| 331 |
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| 746 |
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| 748 |
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| 751 |
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| 753 |
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| 754 |
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| 768 |
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| 770 |
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| 777 |
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| 778 |
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| 780 |
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| 783 |
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| 785 |
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| 786 |
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| 788 |
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| 789 |
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| 790 |
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| 791 |
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| 792 |
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| 793 |
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|
| 794 |
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| 795 |
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| 796 |
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| 797 |
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| 799 |
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| 800 |
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| 801 |
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| 804 |
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| 807 |
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| 808 |
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| 810 |
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| 812 |
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| 816 |
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| 817 |
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| 818 |
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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| 823 |
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| 824 |
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| 825 |
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| 826 |
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| 827 |
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| 828 |
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| 832 |
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| 833 |
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| 834 |
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| 836 |
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| 842 |
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| 846 |
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| 848 |
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| 849 |
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| 850 |
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| 851 |
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| 852 |
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| 853 |
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| 854 |
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| 855 |
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|
| 856 |
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| 858 |
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| 860 |
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| 872 |
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| 873 |
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| 874 |
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"125007": {
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| 921 |
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| 922 |
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},
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| 923 |
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"125008": {
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| 924 |
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"content": "<|img_thumbnail|>",
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| 925 |
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| 926 |
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"normalized": false,
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| 927 |
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| 929 |
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| 930 |
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| 931 |
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| 932 |
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| 939 |
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| 940 |
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| 944 |
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| 945 |
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|
| 946 |
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| 947 |
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| 948 |
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| 950 |
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| 951 |
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| 952 |
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| 953 |
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"special": true
|
| 954 |
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| 955 |
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|
| 956 |
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"content": "<|audio_start|>",
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| 957 |
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| 958 |
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|
| 959 |
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|
| 962 |
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| 963 |
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| 964 |
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| 969 |
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| 970 |
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},
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| 971 |
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"125014": {
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| 972 |
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| 978 |
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| 979 |
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| 980 |
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| 981 |
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| 982 |
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| 983 |
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| 985 |
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| 986 |
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| 987 |
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| 988 |
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| 989 |
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| 990 |
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| 991 |
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| 992 |
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| 993 |
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"special": true
|
| 994 |
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}
|
| 995 |
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},
|
| 996 |
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"bos_token": "<|startoftext|>",
|
| 997 |
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"clean_up_tokenization_spaces": false,
|
| 998 |
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"eos_token": "<|im_end|>",
|
| 999 |
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"extra_special_tokens": {},
|
| 1000 |
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"model_max_length": 1000000000000000019884624838656,
|
| 1001 |
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"pad_token": "<|pad|>",
|
| 1002 |
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"tokenizer_class": "PreTrainedTokenizerFast"
|
| 1003 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/lfm2_5_2_6b_decode_int8hu_block32_sym.aimodel/main.hash
ADDED
|
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| 1 |
+
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gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/lfm2_5_2_6b_decode_int8hu_block32_sym.aimodel/main.mlirb
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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size 3637150135
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gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/lfm2_5_2_6b_decode_int8hu_block32_sym.aimodel/metadata.json
ADDED
|
@@ -0,0 +1,5 @@
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|
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|
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+
{
|
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"assetVersion" : "2.0",
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"producer" : "coreai-core 1.0.0b2",
|
| 4 |
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"creationDate" : "20260814T020702Z"
|
| 5 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/metadata.json
ADDED
|
@@ -0,0 +1,28 @@
|
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|
|
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|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"metadata_version": "0.2",
|
| 3 |
+
"kind": "llm",
|
| 4 |
+
"name": "lfm2_5_2_6b_decode_int8hu_block32_sym",
|
| 5 |
+
"assets": {
|
| 6 |
+
"main": "lfm2_5_2_6b_decode_int8hu_block32_sym.aimodel"
|
| 7 |
+
},
|
| 8 |
+
"language": {
|
| 9 |
+
"tokenizer": "LiquidAI/LFM2.5-2.6B",
|
| 10 |
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"vocab_size": 128000,
|
| 11 |
+
"max_context_length": 4096,
|
| 12 |
+
"embedded_tokenizer": true,
|
| 13 |
+
"function_map": {
|
| 14 |
+
"main": [
|
| 15 |
+
"main"
|
| 16 |
+
]
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"source": {
|
| 20 |
+
"model_definition": "torch",
|
| 21 |
+
"hf_model_id": "LiquidAI/LFM2.5-2.6B"
|
| 22 |
+
},
|
| 23 |
+
"compression": null,
|
| 24 |
+
"compilation": {
|
| 25 |
+
"date": "2026-08-14T02:07:03.550924+00:00",
|
| 26 |
+
"targets": []
|
| 27 |
+
}
|
| 28 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set preserve_thinking = preserve_thinking | default(false) -%}
|
| 3 |
+
|
| 4 |
+
{%- macro format_arg_value(arg_value) -%}
|
| 5 |
+
{%- if arg_value is string -%}
|
| 6 |
+
{{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
|
| 7 |
+
{%- elif arg_value is mapping or arg_value is iterable -%}
|
| 8 |
+
{{- arg_value | tojson -}}
|
| 9 |
+
{%- else -%}
|
| 10 |
+
{{- arg_value | string -}}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- endmacro -%}
|
| 13 |
+
|
| 14 |
+
{%- macro parse_content(content) -%}
|
| 15 |
+
{%- if content is string -%}
|
| 16 |
+
{{- content -}}
|
| 17 |
+
{%- elif content is mapping -%}
|
| 18 |
+
{{- content | tojson -}}
|
| 19 |
+
{%- elif content is iterable -%}
|
| 20 |
+
{%- set _ns = namespace(result="") -%}
|
| 21 |
+
{%- for item in content -%}
|
| 22 |
+
{%- if item is string -%}
|
| 23 |
+
{%- set _ns.result = _ns.result + item -%}
|
| 24 |
+
{%- elif item is mapping and item.get("type") == "image" -%}
|
| 25 |
+
{%- set _ns.result = _ns.result + "<image>" -%}
|
| 26 |
+
{%- elif item is mapping and item.get("type") == "text" -%}
|
| 27 |
+
{%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
|
| 28 |
+
{%- else -%}
|
| 29 |
+
{%- set _ns.result = _ns.result + (item | tojson) -%}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{%- endfor -%}
|
| 32 |
+
{{- _ns.result -}}
|
| 33 |
+
{%- endif -%}
|
| 34 |
+
{%- endmacro -%}
|
| 35 |
+
|
| 36 |
+
{%- macro render_tool_calls(tool_calls) -%}
|
| 37 |
+
{%- set tool_calls_ns = namespace(tool_calls=[]) -%}
|
| 38 |
+
{%- for tool_call in tool_calls -%}
|
| 39 |
+
{%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
|
| 40 |
+
{%- set func_name = func["name"] -%}
|
| 41 |
+
{%- set func_args = func.get("arguments") -%}
|
| 42 |
+
{%- set args_ns = namespace(arg_strings=[]) -%}
|
| 43 |
+
{%- if func_args is mapping -%}
|
| 44 |
+
{%- for arg_name, arg_value in func_args.items() -%}
|
| 45 |
+
{%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
|
| 46 |
+
{%- endfor -%}
|
| 47 |
+
{%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
|
| 48 |
+
{{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
|
| 49 |
+
{%- endif -%}
|
| 50 |
+
{%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
|
| 51 |
+
{%- endfor -%}
|
| 52 |
+
{{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
|
| 53 |
+
{%- endmacro -%}
|
| 54 |
+
|
| 55 |
+
{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
|
| 56 |
+
{%- if messages and messages[0]["role"] == "system" -%}
|
| 57 |
+
{%- if messages[0].get("content") -%}
|
| 58 |
+
{%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- set messages = messages[1:] -%}
|
| 61 |
+
{%- endif -%}
|
| 62 |
+
{%- if tools -%}
|
| 63 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
|
| 64 |
+
{%- for tool in tools -%}
|
| 65 |
+
{%- if tool is not string -%}
|
| 66 |
+
{%- set tool = tool | tojson -%}
|
| 67 |
+
{%- endif -%}
|
| 68 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 69 |
+
{%- if not loop.last -%}
|
| 70 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 71 |
+
{%- endif -%}
|
| 72 |
+
{%- endfor -%}
|
| 73 |
+
{%- set ns.system_prompt = ns.system_prompt + "]" -%}
|
| 74 |
+
{%- endif -%}
|
| 75 |
+
{%- if ns.system_prompt -%}
|
| 76 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 77 |
+
{%- endif -%}
|
| 78 |
+
{%- for message in messages -%}
|
| 79 |
+
{%- if message["role"] == "user" -%}
|
| 80 |
+
{%- set ns.last_user_index = loop.index0 -%}
|
| 81 |
+
{%- endif -%}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
{%- for message in messages -%}
|
| 84 |
+
{{- "<|im_start|>" + message.role + "\n" -}}
|
| 85 |
+
{%- if message.role == "assistant" -%}
|
| 86 |
+
{%- generation -%}
|
| 87 |
+
{%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}
|
| 88 |
+
{%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
|
| 89 |
+
{%- set thinking = thinking if thinking is string else "" -%}
|
| 90 |
+
{%- if thinking and keep_thinking -%}
|
| 91 |
+
{{- "<think>" + thinking + "</think>" -}}
|
| 92 |
+
{%- endif -%}
|
| 93 |
+
{%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
|
| 94 |
+
{%- set _has_cfm = false -%}
|
| 95 |
+
{%- set content = "" -%}
|
| 96 |
+
{%- if message.get("content") -%}
|
| 97 |
+
{%- set content = parse_content(message.content) -%}
|
| 98 |
+
{%- endif -%}
|
| 99 |
+
{%- if not keep_thinking and "</think>" in content -%}
|
| 100 |
+
{%- set content = content.split("</think>")[-1] | trim -%}
|
| 101 |
+
{%- endif -%}
|
| 102 |
+
{%- if content.endswith(_cfm_tag) -%}
|
| 103 |
+
{%- set _has_cfm = true -%}
|
| 104 |
+
{%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
|
| 105 |
+
{%- set content = content[:_trunc_len] -%}
|
| 106 |
+
{%- endif -%}
|
| 107 |
+
{{- content -}}
|
| 108 |
+
{%- if message.tool_calls -%}
|
| 109 |
+
{{- render_tool_calls(message.tool_calls) -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
{%- if _has_cfm -%}
|
| 112 |
+
{{- _cfm_tag -}}
|
| 113 |
+
{%- endif -%}
|
| 114 |
+
{{- "<|im_end|>\n" -}}
|
| 115 |
+
{%- endgeneration -%}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{%- if message.get("content") -%}
|
| 118 |
+
{{- parse_content(message["content"]) -}}
|
| 119 |
+
{%- endif -%}
|
| 120 |
+
{{- "<|im_end|>\n" -}}
|
| 121 |
+
{%- endif %}
|
| 122 |
+
{%- endfor -%}
|
| 123 |
+
{%- if add_generation_prompt -%}
|
| 124 |
+
{{- "<|im_start|>assistant\n<think>" -}}
|
| 125 |
+
{%- endif -%}
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<|startoftext|>",
|
| 3 |
+
"eos_token": "<|im_end|>",
|
| 4 |
+
"pad_token": "<|pad|>"
|
| 5 |
+
}
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41
|
| 3 |
+
size 17905598
|
gpu-pipelined/lfm2_5_2_6b_decode_int8hu_block32_sym/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1003 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"124893": {
|
| 4 |
+
"content": "<|pad|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"124894": {
|
| 12 |
+
"content": "<|startoftext|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"124895": {
|
| 20 |
+
"content": "<|endoftext|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"124896": {
|
| 28 |
+
"content": "<|fim_pre|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"124897": {
|
| 36 |
+
"content": "<|fim_mid|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"124898": {
|
| 44 |
+
"content": "<|fim_suf|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"124899": {
|
| 52 |
+
"content": "<|im_start|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"124900": {
|
| 60 |
+
"content": "<|im_end|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"124901": {
|
| 68 |
+
"content": "<think>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": false
|
| 74 |
+
},
|
| 75 |
+
"124902": {
|
| 76 |
+
"content": "</think>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": false
|
| 82 |
+
},
|
| 83 |
+
"124903": {
|
| 84 |
+
"content": "<|tool_list_start|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"124904": {
|
| 92 |
+
"content": "<|tool_list_end|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"124905": {
|
| 100 |
+
"content": "<|tool_call_start|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": false
|
| 106 |
+
},
|
| 107 |
+
"124906": {
|
| 108 |
+
"content": "<|tool_call_end|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": false
|
| 114 |
+
},
|
| 115 |
+
"124907": {
|
| 116 |
+
"content": "<image>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"124908": {
|
| 124 |
+
"content": "<|img_row_1_col_1|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"124909": {
|
| 132 |
+
"content": "<|img_row_1_col_2|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"124910": {
|
| 140 |
+
"content": "<|img_row_1_col_3|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"124911": {
|
| 148 |
+
"content": "<|img_row_1_col_4|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"124912": {
|
| 156 |
+
"content": "<|img_row_1_col_5|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"124913": {
|
| 164 |
+
"content": "<|img_row_1_col_6|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"124914": {
|
| 172 |
+
"content": "<|img_row_1_col_7|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"124915": {
|
| 180 |
+
"content": "<|img_row_1_col_8|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"124916": {
|
| 188 |
+
"content": "<|img_row_1_col_9|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"124917": {
|
| 196 |
+
"content": "<|img_row_1_col_10|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
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"rstrip": false,
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| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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| 206 |
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|
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| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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| 213 |
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|
| 214 |
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|
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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| 221 |
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| 225 |
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|
| 226 |
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| 227 |
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| 228 |
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| 229 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 243 |
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| 244 |
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| 252 |
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