Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +137 -0
- chat_template.jinja +354 -0
- config.json +2806 -0
- generation_config.json +14 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +0 -0
- processor_config.json +75 -0
- tokenizer.json +3 -0
.gitattributes
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README.md
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| 1 |
+
---
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| 2 |
+
license: gemma
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| 3 |
+
language:
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| 4 |
+
- en
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| 5 |
+
base_model: google/gemma-4-26b-a4b-it
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| 6 |
+
tags:
|
| 7 |
+
- mlx
|
| 8 |
+
- mlx-node
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| 9 |
+
- quantized
|
| 10 |
+
- awq
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| 11 |
+
- mxfp8
|
| 12 |
+
- micro-scaling-fp
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| 13 |
+
- gemma4
|
| 14 |
+
- moe
|
| 15 |
+
- sliding-window-attention
|
| 16 |
+
- vision-language
|
| 17 |
+
- apple-silicon
|
| 18 |
+
- unsloth-dynamic
|
| 19 |
+
library_name: mlx-node
|
| 20 |
+
quantized_by: mlx-node
|
| 21 |
+
pipeline_tag: text-generation
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| 22 |
+
model_type: gemma4
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
# Gemma-4-26B-A4B-IT — UD-MXFP8_K_XL (mlx-node)
|
| 26 |
+
|
| 27 |
+
MXFP8 (OCP micro-scaling FP8) quantization of [google/gemma-4-26b-a4b-it](https://huggingface.co/google/gemma-4-26b-a4b-it) for Apple Silicon, using the [**Unsloth Dynamic** quantization strategy](https://unsloth.ai/docs/models/qwen3.5/gguf-benchmarks) via [mlx-node](https://github.com/mlx-node/mlx-node).
|
| 28 |
+
|
| 29 |
+
| | Original (BF16) | UD-MXFP8_K_XL (this model) |
|
| 30 |
+
|---|---|---|
|
| 31 |
+
| **Size** | ~49 GB | **26 GB** |
|
| 32 |
+
| **Format** | SafeTensors | SafeTensors |
|
| 33 |
+
| **Precision** | BF16 uniform | MXFP8 (E8M0 scales) + BF16 |
|
| 34 |
+
| **FFN group size** | — | **32** |
|
| 35 |
+
| **Biases** | — | no |
|
| 36 |
+
|
| 37 |
+
## What is MXFP8?
|
| 38 |
+
|
| 39 |
+
MXFP8 is the [Open Compute Project (OCP) micro-scaling FP8](https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf) format. Each group of 32 elements shares a single 8-bit E8M0 scale (a power-of-two exponent), and elements themselves are stored as E4M3 FP8 values. Compared to 8-bit affine:
|
| 40 |
+
|
| 41 |
+
- **Half the scale storage**: uint8 E8M0 vs. fp16/fp32 affine scales
|
| 42 |
+
- **No biases**: zero-point implicit (FP8 covers ±range)
|
| 43 |
+
- **Hardware-friendly**: scale is just an exponent shift, no FP multiply on the scale path
|
| 44 |
+
|
| 45 |
+
For typical LLM weight distributions, MXFP8 retains quality on par with 8-bit affine while shrinking the metadata footprint.
|
| 46 |
+
|
| 47 |
+
## All Variants
|
| 48 |
+
|
| 49 |
+
| Repo | Bit budget | Size | Decode (tok/s) |
|
| 50 |
+
|---|---|---|---|
|
| 51 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q3_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q3_K_XL-mlx) | 3-bit base | 14 GB | 60.6 |
|
| 52 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-MXFP4_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-MXFP4_K_XL-mlx) | mxfp4 | 16 GB | 58.4 |
|
| 53 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q4_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q4_K_XL-mlx) | 4-bit base | 17 GB | 58.6 |
|
| 54 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-NVFP4_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-NVFP4_K_XL-mlx) | nvfp4 | 17 GB | 57.9 |
|
| 55 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q5_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q5_K_XL-mlx) | 5-bit base | 20 GB | 50.3 |
|
| 56 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q6_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q6_K_XL-mlx) | 6-bit base | 23 GB | 51.9 |
|
| 57 |
+
| **[Brooooooklyn/Gemma-4-26B-A4B-IT-UD-MXFP8_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-MXFP8_K_XL-mlx) (this model)** | **mxfp8** | **26 GB** | **49.8** |
|
| 58 |
+
| [Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q8_K_XL-mlx](https://huggingface.co/Brooooooklyn/Gemma-4-26B-A4B-IT-UD-Q8_K_XL-mlx) | 8-bit base | 27 GB | 49.8 |
|
| 59 |
+
|
| 60 |
+
Benchmarked on Apple M3 Max 128GB via [`examples/lm.ts`](https://github.com/mlx-node/mlx-node/blob/main/examples/lm.ts) (best decode tok/s across turns 2–4, steady-state, capitals chat with `reasoningEffort: 'low'`).
|
| 61 |
+
|
| 62 |
+
**Note:** No Q2 variant is published — Gemma-4-26B-A4B-IT has only ~4B active parameters per token, which is below the architectural redundancy needed for 2-bit quantization to remain coherent. Both `unsloth` and `mixed_2_6` recipes produced gibberish at Q2 on this model.
|
| 63 |
+
|
| 64 |
+
## Performance
|
| 65 |
+
|
| 66 |
+
Steady-state decode: **49.8 tok/s** on Apple M3 Max 128GB (best of turns 2–4, `examples/lm.ts` capitals chat with `reasoningEffort: 'low'`). Decode is memory-bandwidth bound on Apple Silicon — fewer bytes per token directly translates to higher throughput. The MoE architecture activates only top-K of 128 experts per token (~4B active out of ~26B total), and the compiled C++ forward graph fuses the per-layer dispatch.
|
| 67 |
+
|
| 68 |
+
## Per-Tensor Bit Assignments (N=8)
|
| 69 |
+
|
| 70 |
+
| Weight | Mode | Bits | Group | Rationale |
|
| 71 |
+
|---|---|---|---|---|
|
| 72 |
+
| `self_attn.q_proj` | **mxfp8** | 8 | 32 | AWQ-corrected via input_layernorm |
|
| 73 |
+
| `self_attn.k_proj` | **mxfp8** | 8 | 32 | AWQ-corrected via input_layernorm |
|
| 74 |
+
| `self_attn.v_proj` | **mxfp8** | 8 | 32 | AWQ-corrected via input_layernorm (only on full-attention layers) |
|
| 75 |
+
| `mlp.gate_proj` | **mxfp8** | 8 | 32 | Shared dense MLP |
|
| 76 |
+
| `mlp.up_proj` | **mxfp8** | 8 | 32 | Shared dense MLP |
|
| 77 |
+
| `mlp.down_proj` | **mxfp8** | 8 | 32 | Shared dense MLP; "slightly more sensitive" (unsloth `base+1`) |
|
| 78 |
+
| `experts.switch_glu.gate_proj` | **mxfp8** | 8 | 32 | MoE expert gate (per-expert across all 128); base bits |
|
| 79 |
+
| `experts.switch_glu.up_proj` | **mxfp8** | 8 | 32 | MoE expert up (per-expert across all 128); base bits |
|
| 80 |
+
| `experts.switch_glu.down_proj` | **mxfp8** | 8 | 32 | MoE expert down (per-expert across all 128 + routing); unsloth `base+1` |
|
| 81 |
+
| `self_attn.o_proj` | **bf16** | — | — | NOT AWQ-correctable; kept full-precision |
|
| 82 |
+
|
| 83 |
+
## Quantization Strategy
|
| 84 |
+
|
| 85 |
+
Built on Unsloth Dynamic 2.0 per-tensor KLD analysis. At `--q-bits 8` the unsloth recipe's per-layer bit offsets all snap to 8-bit. Then `--q-mxfp` orthogonally promotes every 8-bit affine decision to MXFP8 (`mode="mxfp8", bits=8, group_size=32`) — except for keys whose dequantizers are affine-only (`embed_tokens`, `lm_head`, `router.proj`, `embed_vision.embedding_projection`).
|
| 86 |
+
|
| 87 |
+
imatrix AWQ pre-scaling amplifies important weight channels and fuses inverse scales into preceding layer norms (zero inference overhead). At 8-bit, the recipe's primary contribution is the affine-only safety net for embedding and routing layers.
|
| 88 |
+
|
| 89 |
+
## Architecture
|
| 90 |
+
|
| 91 |
+
| Parameter | Value |
|
| 92 |
+
|---|---|
|
| 93 |
+
| Total parameters | ~26B (~4B active per token) |
|
| 94 |
+
| Hidden size | 2,816 |
|
| 95 |
+
| Layers | 30 (sliding-window attention) |
|
| 96 |
+
| Attention heads | 16 (8 KV heads, GQA 2:1) |
|
| 97 |
+
| Head dimension | 256 |
|
| 98 |
+
| Experts | 128 per MoE layer |
|
| 99 |
+
| MoE intermediate size | 704 |
|
| 100 |
+
| Vocab size | 262,144 |
|
| 101 |
+
| Max context | 262,144 tokens |
|
| 102 |
+
| Vision | yes (Gemma4ForConditionalGeneration) |
|
| 103 |
+
|
| 104 |
+
## Usage
|
| 105 |
+
|
| 106 |
+
```typescript
|
| 107 |
+
import { loadSession } from '@mlx-node/lm';
|
| 108 |
+
|
| 109 |
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const session = await loadSession('./Gemma-4-26B-A4B-IT-UD-MXFP8_K_XL-mlx');
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| 110 |
+
|
| 111 |
+
for await (const event of session.sendStream('Explain the MoE architecture in Gemma-4.', {
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| 112 |
+
config: { maxNewTokens: 2048, temperature: 0.6, reasoningEffort: 'low' },
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| 113 |
+
})) {
|
| 114 |
+
if (!event.done) process.stdout.write(event.text);
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| 115 |
+
}
|
| 116 |
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```
|
| 117 |
+
|
| 118 |
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## How It Was Made
|
| 119 |
+
|
| 120 |
+
```bash
|
| 121 |
+
mlx convert \
|
| 122 |
+
-i gemma-4-26b-a4b-it \
|
| 123 |
+
-o Gemma-4-26B-A4B-IT-UD-MXFP8_K_XL-mlx \
|
| 124 |
+
-q --q-bits 8 --q-mxfp --q-recipe unsloth \
|
| 125 |
+
--imatrix-path imatrix_unsloth.gguf
|
| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
## Acknowledgments
|
| 129 |
+
|
| 130 |
+
- **[Unsloth](https://unsloth.ai)** — Quantization strategy based on their [per-layer KLD benchmarks](https://unsloth.ai/docs/models/qwen3.5/gguf-benchmarks) and Dynamic 2.0 methodology
|
| 131 |
+
- **[Google DeepMind](https://deepmind.google/)** — For the Gemma-4 model family
|
| 132 |
+
- **[OCP Microscaling FP](https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf)** — For the MXFP4/MXFP8 specification
|
| 133 |
+
- **[Apple MLX](https://github.com/ml-explore/mlx)** — For the Metal-accelerated ML framework
|
| 134 |
+
|
| 135 |
+
## License
|
| 136 |
+
|
| 137 |
+
[Gemma Terms of Use](https://ai.google.dev/gemma/terms) (inherited from base model).
|
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| 1 |
+
{%- macro format_parameters(properties, required, filter_keys=false) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- set add_comma = false -%}
|
| 6 |
+
{%- if not filter_keys or key not in standard_keys -%}
|
| 7 |
+
{%- if ns.found_first %},{% endif -%}
|
| 8 |
+
{%- set ns.found_first = true -%}
|
| 9 |
+
{{ key }}:{
|
| 10 |
+
{%- if value['description'] -%}
|
| 11 |
+
description:<|"|>{{ value['description'] }}<|"|>
|
| 12 |
+
{%- set add_comma = true -%}
|
| 13 |
+
{%- endif -%}
|
| 14 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 15 |
+
{%- if value['enum'] -%}
|
| 16 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 17 |
+
enum:{{ format_argument(value['enum']) }}
|
| 18 |
+
{%- endif -%}
|
| 19 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 20 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 21 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 22 |
+
items:{
|
| 23 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 24 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 25 |
+
{%- if item_value is not none -%}
|
| 26 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 27 |
+
{%- set ns_items.found_first = true -%}
|
| 28 |
+
{%- if item_key == 'properties' -%}
|
| 29 |
+
properties:{
|
| 30 |
+
{%- if item_value is mapping -%}
|
| 31 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
}
|
| 34 |
+
{%- elif item_key == 'required' -%}
|
| 35 |
+
required:[
|
| 36 |
+
{%- for req_item in item_value -%}
|
| 37 |
+
<|"|>{{- req_item -}}<|"|>
|
| 38 |
+
{%- if not loop.last %},{% endif -%}
|
| 39 |
+
{%- endfor -%}
|
| 40 |
+
]
|
| 41 |
+
{%- elif item_key == 'type' -%}
|
| 42 |
+
{%- if item_value is string -%}
|
| 43 |
+
type:{{ format_argument(item_value | upper) }}
|
| 44 |
+
{%- else -%}
|
| 45 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 46 |
+
{%- endif -%}
|
| 47 |
+
{%- else -%}
|
| 48 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 49 |
+
{%- endif -%}
|
| 50 |
+
{%- endif -%}
|
| 51 |
+
{%- endfor -%}
|
| 52 |
+
}
|
| 53 |
+
{%- endif -%}
|
| 54 |
+
{%- endif -%}
|
| 55 |
+
{%- if value['nullable'] %}
|
| 56 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 57 |
+
nullable:true
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- if value['type'] | upper == 'OBJECT' -%}
|
| 60 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 61 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 62 |
+
properties:{
|
| 63 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 64 |
+
}
|
| 65 |
+
{%- elif value is mapping -%}
|
| 66 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 67 |
+
properties:{
|
| 68 |
+
{{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
|
| 69 |
+
}
|
| 70 |
+
{%- endif -%}
|
| 71 |
+
{%- if value['required'] -%}
|
| 72 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 73 |
+
required:[
|
| 74 |
+
{%- for item in value['required'] | default([]) -%}
|
| 75 |
+
<|"|>{{- item -}}<|"|>
|
| 76 |
+
{%- if not loop.last %},{% endif -%}
|
| 77 |
+
{%- endfor -%}
|
| 78 |
+
]
|
| 79 |
+
{%- endif -%}
|
| 80 |
+
{%- endif -%}
|
| 81 |
+
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
|
| 82 |
+
type:<|"|>{{ value['type'] | upper }}<|"|>}
|
| 83 |
+
{%- endif -%}
|
| 84 |
+
{%- endfor -%}
|
| 85 |
+
{%- endmacro -%}
|
| 86 |
+
{%- macro format_function_declaration(tool_data) -%}
|
| 87 |
+
declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
|
| 88 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 89 |
+
{%- if params -%}
|
| 90 |
+
,parameters:{
|
| 91 |
+
{%- if params['properties'] -%}
|
| 92 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 93 |
+
{%- endif -%}
|
| 94 |
+
{%- if params['required'] -%}
|
| 95 |
+
required:[
|
| 96 |
+
{%- for item in params['required'] -%}
|
| 97 |
+
<|"|>{{- item -}}<|"|>
|
| 98 |
+
{{- ',' if not loop.last -}}
|
| 99 |
+
{%- endfor -%}
|
| 100 |
+
],
|
| 101 |
+
{%- endif -%}
|
| 102 |
+
{%- if params['type'] -%}
|
| 103 |
+
type:<|"|>{{- params['type'] | upper -}}<|"|>}
|
| 104 |
+
{%- endif -%}
|
| 105 |
+
{%- endif -%}
|
| 106 |
+
{%- if 'response' in tool_data['function'] -%}
|
| 107 |
+
{%- set response_declaration = tool_data['function']['response'] -%}
|
| 108 |
+
,response:{
|
| 109 |
+
{%- if response_declaration['description'] -%}
|
| 110 |
+
description:<|"|>{{- response_declaration['description'] -}}<|"|>,
|
| 111 |
+
{%- endif -%}
|
| 112 |
+
{%- if response_declaration['type'] | upper == 'OBJECT' -%}
|
| 113 |
+
type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
|
| 114 |
+
{%- endif -%}
|
| 115 |
+
{%- endif -%}
|
| 116 |
+
}
|
| 117 |
+
{%- endmacro -%}
|
| 118 |
+
{%- macro format_argument(argument, escape_keys=True) -%}
|
| 119 |
+
{%- if argument is string -%}
|
| 120 |
+
{{- '<|"|>' + argument + '<|"|>' -}}
|
| 121 |
+
{%- elif argument is boolean -%}
|
| 122 |
+
{{- 'true' if argument else 'false' -}}
|
| 123 |
+
{%- elif argument is mapping -%}
|
| 124 |
+
{{- '{' -}}
|
| 125 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 126 |
+
{%- for key, value in argument | dictsort -%}
|
| 127 |
+
{%- if ns.found_first %},{% endif -%}
|
| 128 |
+
{%- set ns.found_first = true -%}
|
| 129 |
+
{%- if escape_keys -%}
|
| 130 |
+
{{- '<|"|>' + key + '<|"|>' -}}
|
| 131 |
+
{%- else -%}
|
| 132 |
+
{{- key -}}
|
| 133 |
+
{%- endif -%}
|
| 134 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 135 |
+
{%- endfor -%}
|
| 136 |
+
{{- '}' -}}
|
| 137 |
+
{%- elif argument is sequence -%}
|
| 138 |
+
{{- '[' -}}
|
| 139 |
+
{%- for item in argument -%}
|
| 140 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 141 |
+
{%- if not loop.last %},{% endif -%}
|
| 142 |
+
{%- endfor -%}
|
| 143 |
+
{{- ']' -}}
|
| 144 |
+
{%- else -%}
|
| 145 |
+
{{- argument -}}
|
| 146 |
+
{%- endif -%}
|
| 147 |
+
{%- endmacro -%}
|
| 148 |
+
{%- macro strip_thinking(text) -%}
|
| 149 |
+
{%- set ns = namespace(result='') -%}
|
| 150 |
+
{%- for part in text.split('<channel|>') -%}
|
| 151 |
+
{%- if '<|channel>' in part -%}
|
| 152 |
+
{%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
|
| 153 |
+
{%- else -%}
|
| 154 |
+
{%- set ns.result = ns.result + part -%}
|
| 155 |
+
{%- endif -%}
|
| 156 |
+
{%- endfor -%}
|
| 157 |
+
{{- ns.result | trim -}}
|
| 158 |
+
{%- endmacro -%}
|
| 159 |
+
|
| 160 |
+
{%- macro format_tool_response_block(tool_name, response) -%}
|
| 161 |
+
{{- '<|tool_response>' -}}
|
| 162 |
+
{%- if response is mapping -%}
|
| 163 |
+
{{- 'response:' + tool_name + '{' -}}
|
| 164 |
+
{%- for key, value in response | dictsort -%}
|
| 165 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 166 |
+
{%- if not loop.last %},{% endif -%}
|
| 167 |
+
{%- endfor -%}
|
| 168 |
+
{{- '}' -}}
|
| 169 |
+
{%- else -%}
|
| 170 |
+
{{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
|
| 171 |
+
{%- endif -%}
|
| 172 |
+
{{- '<tool_response|>' -}}
|
| 173 |
+
{%- endmacro -%}
|
| 174 |
+
|
| 175 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 176 |
+
{%- set loop_messages = messages -%}
|
| 177 |
+
{{- bos_token -}}
|
| 178 |
+
{#- Handle System/Tool Definitions Block -#}
|
| 179 |
+
{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
|
| 180 |
+
{{- '<|turn>system\n' -}}
|
| 181 |
+
{#- Inject Thinking token at the very top of the FIRST system turn -#}
|
| 182 |
+
{%- if enable_thinking is defined and enable_thinking -%}
|
| 183 |
+
{{- '<|think|>\n' -}}
|
| 184 |
+
{%- set ns.prev_message_type = 'think' -%}
|
| 185 |
+
{%- endif -%}
|
| 186 |
+
{%- if messages[0]['role'] in ['system', 'developer'] -%}
|
| 187 |
+
{%- if messages[0]['content'] is string -%}
|
| 188 |
+
{{- messages[0]['content'] | trim -}}
|
| 189 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 190 |
+
{%- for item in messages[0]['content'] -%}
|
| 191 |
+
{{- item['text'] | trim + ' '-}}
|
| 192 |
+
{%- endfor -%}
|
| 193 |
+
{%- endif -%}
|
| 194 |
+
{%- set loop_messages = messages[1:] -%}
|
| 195 |
+
{%- endif -%}
|
| 196 |
+
{%- if tools -%}
|
| 197 |
+
{%- for tool in tools %}
|
| 198 |
+
{{- '<|tool>' -}}
|
| 199 |
+
{{- format_function_declaration(tool) | trim -}}
|
| 200 |
+
{{- '<tool|>' -}}
|
| 201 |
+
{%- endfor %}
|
| 202 |
+
{%- set ns.prev_message_type = 'tool' -%}
|
| 203 |
+
{%- endif -%}
|
| 204 |
+
{{- '<turn|>\n' -}}
|
| 205 |
+
{%- endif %}
|
| 206 |
+
|
| 207 |
+
{#- Pre-scan: find last user message index for reasoning guard -#}
|
| 208 |
+
{%- set ns_turn = namespace(last_user_idx=-1) -%}
|
| 209 |
+
{%- for i in range(loop_messages | length) -%}
|
| 210 |
+
{%- if loop_messages[i]['role'] == 'user' -%}
|
| 211 |
+
{%- set ns_turn.last_user_idx = i -%}
|
| 212 |
+
{%- endif -%}
|
| 213 |
+
{%- endfor -%}
|
| 214 |
+
|
| 215 |
+
{#- Loop through messages -#}
|
| 216 |
+
{%- for message in loop_messages -%}
|
| 217 |
+
{%- if message['role'] != 'tool' -%}
|
| 218 |
+
{%- set ns.prev_message_type = None -%}
|
| 219 |
+
{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
|
| 220 |
+
{#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
|
| 221 |
+
{%- set prev_nt = namespace(role=None, found=false) -%}
|
| 222 |
+
{%- if loop.index0 > 0 -%}
|
| 223 |
+
{%- for j in range(loop.index0 - 1, -1, -1) -%}
|
| 224 |
+
{%- if not prev_nt.found -%}
|
| 225 |
+
{%- if loop_messages[j]['role'] != 'tool' -%}
|
| 226 |
+
{%- set prev_nt.role = loop_messages[j]['role'] -%}
|
| 227 |
+
{%- set prev_nt.found = true -%}
|
| 228 |
+
{%- endif -%}
|
| 229 |
+
{%- endif -%}
|
| 230 |
+
{%- endfor -%}
|
| 231 |
+
{%- endif -%}
|
| 232 |
+
{%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
|
| 233 |
+
{%- if not continue_same_model_turn -%}
|
| 234 |
+
{{- '<|turn>' + role + '\n' }}
|
| 235 |
+
{%- endif -%}
|
| 236 |
+
|
| 237 |
+
{#- Render reasoning/reasoning_content as thinking channel -#}
|
| 238 |
+
{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
|
| 239 |
+
{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
|
| 240 |
+
{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
|
| 241 |
+
{%- endif -%}
|
| 242 |
+
|
| 243 |
+
{%- if message['tool_calls'] -%}
|
| 244 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 245 |
+
{%- set function = tool_call['function'] -%}
|
| 246 |
+
{{- '<|tool_call>call:' + function['name'] + '{' -}}
|
| 247 |
+
{%- if function['arguments'] is mapping -%}
|
| 248 |
+
{%- set ns_args = namespace(found_first=false) -%}
|
| 249 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 250 |
+
{%- if ns_args.found_first %},{% endif -%}
|
| 251 |
+
{%- set ns_args.found_first = true -%}
|
| 252 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 253 |
+
{%- endfor -%}
|
| 254 |
+
{%- elif function['arguments'] is string -%}
|
| 255 |
+
{{- function['arguments'] -}}
|
| 256 |
+
{%- endif -%}
|
| 257 |
+
{{- '}<tool_call|>' -}}
|
| 258 |
+
{%- endfor -%}
|
| 259 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 260 |
+
{%- endif -%}
|
| 261 |
+
|
| 262 |
+
{%- set ns_tr_out = namespace(flag=false) -%}
|
| 263 |
+
{%- if message.get('tool_responses') -%}
|
| 264 |
+
{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
|
| 265 |
+
{%- for tool_response in message['tool_responses'] -%}
|
| 266 |
+
{{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
|
| 267 |
+
{%- set ns_tr_out.flag = true -%}
|
| 268 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 269 |
+
{%- endfor -%}
|
| 270 |
+
{%- elif message.get('tool_calls') -%}
|
| 271 |
+
{#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
|
| 272 |
+
{%- set ns_tool_scan = namespace(stopped=false) -%}
|
| 273 |
+
{%- for k in range(loop.index0 + 1, loop_messages | length) -%}
|
| 274 |
+
{%- if ns_tool_scan.stopped -%}
|
| 275 |
+
{%- elif loop_messages[k]['role'] != 'tool' -%}
|
| 276 |
+
{%- set ns_tool_scan.stopped = true -%}
|
| 277 |
+
{%- else -%}
|
| 278 |
+
{%- set follow = loop_messages[k] -%}
|
| 279 |
+
{#- Resolve tool_call_id to function name -#}
|
| 280 |
+
{%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
|
| 281 |
+
{%- for tc in message['tool_calls'] -%}
|
| 282 |
+
{%- if tc.get('id') == follow.get('tool_call_id') -%}
|
| 283 |
+
{%- set ns_tname.name = tc['function']['name'] -%}
|
| 284 |
+
{%- endif -%}
|
| 285 |
+
{%- endfor -%}
|
| 286 |
+
{#- Handle content as string or content-parts array -#}
|
| 287 |
+
{%- set tool_body = follow.get('content') -%}
|
| 288 |
+
{%- if tool_body is string -%}
|
| 289 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 290 |
+
{%- elif tool_body is sequence and tool_body is not string -%}
|
| 291 |
+
{%- set ns_txt = namespace(s='') -%}
|
| 292 |
+
{%- for part in tool_body -%}
|
| 293 |
+
{%- if part.get('type') == 'text' -%}
|
| 294 |
+
{%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
|
| 295 |
+
{%- endif -%}
|
| 296 |
+
{%- endfor -%}
|
| 297 |
+
{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
|
| 298 |
+
{%- else -%}
|
| 299 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 300 |
+
{%- endif -%}
|
| 301 |
+
{%- set ns_tr_out.flag = true -%}
|
| 302 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 303 |
+
{%- endif -%}
|
| 304 |
+
{%- endfor -%}
|
| 305 |
+
{%- endif -%}
|
| 306 |
+
|
| 307 |
+
{%- set captured_content -%}
|
| 308 |
+
{%- if message['content'] is string -%}
|
| 309 |
+
{%- if role == 'model' -%}
|
| 310 |
+
{{- strip_thinking(message['content']) -}}
|
| 311 |
+
{%- else -%}
|
| 312 |
+
{{- message['content'] | trim -}}
|
| 313 |
+
{%- endif -%}
|
| 314 |
+
{%- elif message['content'] is sequence -%}
|
| 315 |
+
{%- for item in message['content'] -%}
|
| 316 |
+
{%- if item['type'] == 'text' -%}
|
| 317 |
+
{%- if role == 'model' -%}
|
| 318 |
+
{{- strip_thinking(item['text']) -}}
|
| 319 |
+
{%- else -%}
|
| 320 |
+
{{- item['text'] | trim -}}
|
| 321 |
+
{%- endif -%}
|
| 322 |
+
{%- elif item['type'] == 'image' -%}
|
| 323 |
+
{{- '<|image|>' -}}
|
| 324 |
+
{%- set ns.prev_message_type = 'image' -%}
|
| 325 |
+
{%- elif item['type'] == 'audio' -%}
|
| 326 |
+
{{- '<|audio|>' -}}
|
| 327 |
+
{%- set ns.prev_message_type = 'audio' -%}
|
| 328 |
+
{%- elif item['type'] == 'video' -%}
|
| 329 |
+
{{- '<|video|>' -}}
|
| 330 |
+
{%- set ns.prev_message_type = 'video' -%}
|
| 331 |
+
{%- endif -%}
|
| 332 |
+
{%- endfor -%}
|
| 333 |
+
{%- endif -%}
|
| 334 |
+
{%- endset -%}
|
| 335 |
+
|
| 336 |
+
{{- captured_content -}}
|
| 337 |
+
{%- set has_content = captured_content | trim | length > 0 -%}
|
| 338 |
+
|
| 339 |
+
{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
|
| 340 |
+
{{- '<|tool_response>' -}}
|
| 341 |
+
{%- elif not (ns_tr_out.flag and not has_content) -%}
|
| 342 |
+
{{- '<turn|>\n' -}}
|
| 343 |
+
{%- endif -%}
|
| 344 |
+
{%- endif -%}
|
| 345 |
+
{%- endfor -%}
|
| 346 |
+
|
| 347 |
+
{%- if add_generation_prompt -%}
|
| 348 |
+
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
|
| 349 |
+
{{- '<|turn>model\n' -}}
|
| 350 |
+
{%- if not enable_thinking | default(false) -%}
|
| 351 |
+
{{- '<|channel>thought\n<channel|>' -}}
|
| 352 |
+
{%- endif -%}
|
| 353 |
+
{%- endif -%}
|
| 354 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,2806 @@
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| 1 |
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| 2 |
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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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|
| 2802 |
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|
| 2803 |
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|
| 2804 |
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},
|
| 2805 |
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|
| 2806 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 74 |
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| 75 |
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tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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