Instructions to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16 # Run inference directly in the terminal: llama cli -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16 # Run inference directly in the terminal: llama cli -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16 # Run inference directly in the terminal: ./llama-cli -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Use Docker
docker model run hf.co/random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
- LM Studio
- Jan
- Ollama
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Ollama:
ollama run hf.co/random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
- Unsloth Studio
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP to start chatting
- Pi
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Docker Model Runner:
docker model run hf.co/random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
- Lemonade
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Run and chat with the model
lemonade run user.Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP-BF16
List all available models
lemonade list
- Hermes Agent
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-No-MTP:BF16" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 241,271 Bytes
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base_model: wangzhang/Qwen3.5-122B-A10B-abliterix
base_model_relation: quantized
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-122B-A10B/blob/main/LICENSE
---
> **Disclaimer:** Decensored model.
> * Safe input → Safe output *(rare exceptions may apply)*
> * Harmful input → Harmful output
> * Best for testing; avoid public-facing applications.
> **Note:**
> * The internal MTP layer was ditched via `--no-mtp`. ~The uploader was *too lazy* to patch the conversion bugs.~
> * MTP-grafted variant available: [random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-MTP](https://huggingface.co/random257/Qwen3.5-122B-A10B-Wangzhang-Abliterix-MTP)
> * **Experimental conversions**; minor tensor misalignments, loading issues, or long-context quirks may occur. Use at your own risk.
**BF16**: Directly converted from [wangzhang/Qwen3.5-122B-A10B-abliterix](https://huggingface.co/wangzhang/Qwen3.5-122B-A10B-abliterix) to GGUF (without MTP), split into multiple files, with updated `general.name`.
**MQ68**: Mixed precision (Q6_K - Q8_0). Uses **Q6_K for large tensors** in expert blocks; **BF16** for the output tensor; the rest remains at **Q8_0**. Inference speed is **0.8x** that of pure Q6_K.
**MQ516_special**: Mixed precision (Q5_K - BF16). Uses **Q5_K** only for *large tensors* in *early SSM* blocks, **Q6_K** for large tensors in *other expert blocks*, and retains **BF16** for all *small-to-medium and critical* tensors (including the output projection). Since all medium-sized mandatory (dense) tensors are BF16, inference speed drops to **0.55x** that of pure Q6_K. *Experimental; the strategy is purely heuristic and unverified.*
Both MQ68 and MQ516_special can squeeze into a gfx1151-128G device. However on Windows, RAM offloading may cause further slowdowns compared to pure Q6_K (model size >96G, \~107G at 262k context), while also increasing OOM risks that require careful management; unlike pure Q6_K (\~104G at 262k context) which leaves sufficient margin and thus remains stable.
**BF16**
<details>
<summary>convert_hf_to_gguf params and gguf-dump</summary>
--outtype bf16
--model-name "Qwen3.5 122B A10B Wangzhang Abliterix No MTP"
--split-max-size 42G
--no-mtp
1: UINT32 | 1 | GGUF.version = 3
2: UINT64 | 1 | GGUF.tensor_count = 879
3: UINT64 | 1 | GGUF.kv_count = 46
4: STRING | 1 | general.architecture = 'qwen35moe'
5: STRING | 1 | general.type = 'model'
6: INT32 | 1 | general.sampling.top_k = 20
7: FLOAT32 | 1 | general.sampling.top_p = 0.949999988079071
8: FLOAT32 | 1 | general.sampling.temp = 0.6000000238418579
9: STRING | 1 | general.name = 'Qwen3.5 122B A10B Wangzhang Abliterix No MTP'
10: STRING | 1 | general.size_label = '256x6.6B'
11: UINT32 | 1 | general.base_model.count = 1
12: STRING | 1 | general.base_model.0.name = 'Qwen3.5 122B A10B'
13: STRING | 1 | general.base_model.0.organization = 'Qwen'
14: STRING | 1 | general.base_model.0.repo_url = 'https://huggingface.co/Qwen/Qwen3.5-122B-A10B'
15: [STRING] | 5 | general.tags = ['abliterix', 'uncensored', 'decensored', 'abliterated', 'text-generation']
16: UINT32 | 1 | qwen35moe.block_count = 48
17: UINT32 | 1 | qwen35moe.context_length = 262144
18: UINT32 | 1 | qwen35moe.embedding_length = 3072
19: UINT32 | 1 | qwen35moe.attention.head_count = 32
20: UINT32 | 1 | qwen35moe.attention.head_count_kv = 2
21: [INT32] | 4 | qwen35moe.rope.dimension_sections = [11, 11, 10, 0]
22: FLOAT32 | 1 | qwen35moe.rope.freq_base = 10000000.0
23: FLOAT32 | 1 | qwen35moe.attention.layer_norm_rms_epsilon = 9.999999974752427e-07
24: UINT32 | 1 | qwen35moe.expert_count = 256
25: UINT32 | 1 | qwen35moe.expert_used_count = 8
26: UINT32 | 1 | qwen35moe.attention.key_length = 256
27: UINT32 | 1 | qwen35moe.attention.value_length = 256
28: UINT32 | 1 | general.file_type = 32
29: UINT32 | 1 | qwen35moe.expert_feed_forward_length = 1024
30: UINT32 | 1 | qwen35moe.expert_shared_feed_forward_length = 1024
31: UINT32 | 1 | qwen35moe.ssm.conv_kernel = 4
32: UINT32 | 1 | qwen35moe.ssm.state_size = 128
33: UINT32 | 1 | qwen35moe.ssm.group_count = 16
34: UINT32 | 1 | qwen35moe.ssm.time_step_rank = 64
35: UINT32 | 1 | qwen35moe.ssm.inner_size = 8192
36: UINT32 | 1 | qwen35moe.full_attention_interval = 4
37: UINT32 | 1 | qwen35moe.rope.dimension_count = 64
38: UINT32 | 1 | general.quantization_version = 2
39: STRING | 1 | tokenizer.ggml.model = 'gpt2'
40: STRING | 1 | tokenizer.ggml.pre = 'qwen35'
41: [STRING] | 248320 | tokenizer.ggml.tokens = ['!', '"', '#', '$', '%', '&', ...]
42: [INT32] | 248320 | tokenizer.ggml.token_type = [1, 1, 1, 1, 1, 1, ...]
43: [STRING] | 247587 | tokenizer.ggml.merges = ['Ġ Ġ', 'ĠĠ ĠĠ', 'i n', 'Ġ t', 'ĠĠĠĠ ĠĠĠĠ', 'e r', ...]
44: UINT32 | 1 | tokenizer.ggml.eos_token_id = 248046
45: UINT32 | 1 | tokenizer.ggml.padding_token_id = 248044
46: STRING | 1 | tokenizer.chat_template = '{%- set image_count = namespace(value=0) %}\n{%- set video...'
47: UINT16 | 1 | split.no = 0
48: INT32 | 1 | split.tensors.count = 879
49: UINT16 | 1 | split.count = 0
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722: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.39.ffn_down_shexp.weight
723: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.39.ffn_gate_shexp.weight
724: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.39.ffn_up_shexp.weight
725: 3072 | 3072, 1, 1, 1 | F32 | blk.39.ffn_gate_inp_shexp.weight
726: 3072 | 3072, 1, 1, 1 | F32 | blk.39.post_attention_norm.weight
727: 256 | 256, 1, 1, 1 | F32 | blk.39.attn_k_norm.weight
728: 1572864 | 3072, 512, 1, 1 | BF16 | blk.39.attn_k.weight
729: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.39.attn_output.weight
730: 256 | 256, 1, 1, 1 | F32 | blk.39.attn_q_norm.weight
731: 50331648 | 3072, 16384, 1, 1 | BF16 | blk.39.attn_q.weight
732: 1572864 | 3072, 512, 1, 1 | BF16 | blk.39.attn_v.weight
733: 3072 | 3072, 1, 1, 1 | F32 | blk.40.attn_norm.weight
734: 64 | 64, 1, 1, 1 | F32 | blk.40.ssm_a
735: 49152 | 4, 12288, 1, 1 | F32 | blk.40.ssm_conv1d.weight
736: 64 | 64, 1, 1, 1 | F32 | blk.40.ssm_dt.bias
737: 196608 | 3072, 64, 1, 1 | BF16 | blk.40.ssm_alpha.weight
738: 196608 | 3072, 64, 1, 1 | BF16 | blk.40.ssm_beta.weight
739: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.40.attn_qkv.weight
740: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.40.attn_gate.weight
741: 128 | 128, 1, 1, 1 | F32 | blk.40.ssm_norm.weight
742: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.40.ssm_out.weight
743: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.40.ffn_down_exps.weight
744: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.40.ffn_gate_exps.weight
745: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.40.ffn_up_exps.weight
746: 786432 | 3072, 256, 1, 1 | F32 | blk.40.ffn_gate_inp.weight
747: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.40.ffn_down_shexp.weight
748: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.40.ffn_gate_shexp.weight
749: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.40.ffn_up_shexp.weight
750: 3072 | 3072, 1, 1, 1 | F32 | blk.40.ffn_gate_inp_shexp.weight
751: 3072 | 3072, 1, 1, 1 | F32 | blk.40.post_attention_norm.weight
752: 3072 | 3072, 1, 1, 1 | F32 | blk.41.attn_norm.weight
753: 64 | 64, 1, 1, 1 | F32 | blk.41.ssm_a
754: 49152 | 4, 12288, 1, 1 | F32 | blk.41.ssm_conv1d.weight
755: 64 | 64, 1, 1, 1 | F32 | blk.41.ssm_dt.bias
756: 196608 | 3072, 64, 1, 1 | BF16 | blk.41.ssm_alpha.weight
757: 196608 | 3072, 64, 1, 1 | BF16 | blk.41.ssm_beta.weight
758: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.41.attn_qkv.weight
759: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.41.attn_gate.weight
760: 128 | 128, 1, 1, 1 | F32 | blk.41.ssm_norm.weight
761: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.41.ssm_out.weight
762: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.41.ffn_down_exps.weight
763: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.41.ffn_gate_exps.weight
764: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.41.ffn_up_exps.weight
765: 786432 | 3072, 256, 1, 1 | F32 | blk.41.ffn_gate_inp.weight
766: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.41.ffn_down_shexp.weight
767: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.41.ffn_gate_shexp.weight
768: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.41.ffn_up_shexp.weight
769: 3072 | 3072, 1, 1, 1 | F32 | blk.41.ffn_gate_inp_shexp.weight
770: 3072 | 3072, 1, 1, 1 | F32 | blk.41.post_attention_norm.weight
771: 3072 | 3072, 1, 1, 1 | F32 | blk.42.attn_norm.weight
772: 64 | 64, 1, 1, 1 | F32 | blk.42.ssm_a
773: 49152 | 4, 12288, 1, 1 | F32 | blk.42.ssm_conv1d.weight
774: 64 | 64, 1, 1, 1 | F32 | blk.42.ssm_dt.bias
775: 196608 | 3072, 64, 1, 1 | BF16 | blk.42.ssm_alpha.weight
776: 196608 | 3072, 64, 1, 1 | BF16 | blk.42.ssm_beta.weight
777: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.42.attn_qkv.weight
778: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.42.attn_gate.weight
779: 128 | 128, 1, 1, 1 | F32 | blk.42.ssm_norm.weight
780: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.42.ssm_out.weight
781: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.42.ffn_down_exps.weight
782: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.42.ffn_gate_exps.weight
783: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.42.ffn_up_exps.weight
784: 786432 | 3072, 256, 1, 1 | F32 | blk.42.ffn_gate_inp.weight
785: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.42.ffn_down_shexp.weight
786: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.42.ffn_gate_shexp.weight
787: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.42.ffn_up_shexp.weight
788: 3072 | 3072, 1, 1, 1 | F32 | blk.42.ffn_gate_inp_shexp.weight
789: 3072 | 3072, 1, 1, 1 | F32 | blk.42.post_attention_norm.weight
790: 3072 | 3072, 1, 1, 1 | F32 | blk.43.attn_norm.weight
791: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.43.ffn_down_exps.weight
792: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.43.ffn_gate_exps.weight
793: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.43.ffn_up_exps.weight
794: 786432 | 3072, 256, 1, 1 | F32 | blk.43.ffn_gate_inp.weight
795: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.43.ffn_down_shexp.weight
796: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.43.ffn_gate_shexp.weight
797: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.43.ffn_up_shexp.weight
798: 3072 | 3072, 1, 1, 1 | F32 | blk.43.ffn_gate_inp_shexp.weight
799: 3072 | 3072, 1, 1, 1 | F32 | blk.43.post_attention_norm.weight
800: 256 | 256, 1, 1, 1 | F32 | blk.43.attn_k_norm.weight
801: 1572864 | 3072, 512, 1, 1 | BF16 | blk.43.attn_k.weight
802: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.43.attn_output.weight
803: 256 | 256, 1, 1, 1 | F32 | blk.43.attn_q_norm.weight
804: 50331648 | 3072, 16384, 1, 1 | BF16 | blk.43.attn_q.weight
805: 1572864 | 3072, 512, 1, 1 | BF16 | blk.43.attn_v.weight
806: 3072 | 3072, 1, 1, 1 | F32 | blk.44.attn_norm.weight
807: 64 | 64, 1, 1, 1 | F32 | blk.44.ssm_a
808: 49152 | 4, 12288, 1, 1 | F32 | blk.44.ssm_conv1d.weight
809: 64 | 64, 1, 1, 1 | F32 | blk.44.ssm_dt.bias
810: 196608 | 3072, 64, 1, 1 | BF16 | blk.44.ssm_alpha.weight
811: 196608 | 3072, 64, 1, 1 | BF16 | blk.44.ssm_beta.weight
812: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.44.attn_qkv.weight
813: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.44.attn_gate.weight
814: 128 | 128, 1, 1, 1 | F32 | blk.44.ssm_norm.weight
815: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.44.ssm_out.weight
816: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.44.ffn_down_exps.weight
817: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.44.ffn_gate_exps.weight
818: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.44.ffn_up_exps.weight
819: 786432 | 3072, 256, 1, 1 | F32 | blk.44.ffn_gate_inp.weight
820: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.44.ffn_down_shexp.weight
821: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.44.ffn_gate_shexp.weight
822: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.44.ffn_up_shexp.weight
823: 3072 | 3072, 1, 1, 1 | F32 | blk.44.ffn_gate_inp_shexp.weight
824: 3072 | 3072, 1, 1, 1 | F32 | blk.44.post_attention_norm.weight
825: 3072 | 3072, 1, 1, 1 | F32 | blk.45.attn_norm.weight
826: 64 | 64, 1, 1, 1 | F32 | blk.45.ssm_a
827: 49152 | 4, 12288, 1, 1 | F32 | blk.45.ssm_conv1d.weight
828: 64 | 64, 1, 1, 1 | F32 | blk.45.ssm_dt.bias
829: 196608 | 3072, 64, 1, 1 | BF16 | blk.45.ssm_alpha.weight
830: 196608 | 3072, 64, 1, 1 | BF16 | blk.45.ssm_beta.weight
831: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.45.attn_qkv.weight
832: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.45.attn_gate.weight
833: 128 | 128, 1, 1, 1 | F32 | blk.45.ssm_norm.weight
834: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.45.ssm_out.weight
835: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.45.ffn_down_exps.weight
836: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.45.ffn_gate_exps.weight
837: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.45.ffn_up_exps.weight
838: 786432 | 3072, 256, 1, 1 | F32 | blk.45.ffn_gate_inp.weight
839: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.45.ffn_down_shexp.weight
840: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.45.ffn_gate_shexp.weight
841: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.45.ffn_up_shexp.weight
842: 3072 | 3072, 1, 1, 1 | F32 | blk.45.ffn_gate_inp_shexp.weight
843: 3072 | 3072, 1, 1, 1 | F32 | blk.45.post_attention_norm.weight
844: 3072 | 3072, 1, 1, 1 | F32 | blk.46.attn_norm.weight
845: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_a
846: 49152 | 4, 12288, 1, 1 | F32 | blk.46.ssm_conv1d.weight
847: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_dt.bias
848: 196608 | 3072, 64, 1, 1 | BF16 | blk.46.ssm_alpha.weight
849: 196608 | 3072, 64, 1, 1 | BF16 | blk.46.ssm_beta.weight
850: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.46.attn_qkv.weight
851: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.46.attn_gate.weight
852: 128 | 128, 1, 1, 1 | F32 | blk.46.ssm_norm.weight
853: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.46.ssm_out.weight
854: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.46.ffn_down_exps.weight
855: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.46.ffn_gate_exps.weight
856: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.46.ffn_up_exps.weight
857: 786432 | 3072, 256, 1, 1 | F32 | blk.46.ffn_gate_inp.weight
858: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.46.ffn_down_shexp.weight
859: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.46.ffn_gate_shexp.weight
860: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.46.ffn_up_shexp.weight
861: 3072 | 3072, 1, 1, 1 | F32 | blk.46.ffn_gate_inp_shexp.weight
862: 3072 | 3072, 1, 1, 1 | F32 | blk.46.post_attention_norm.weight
863: 3072 | 3072, 1, 1, 1 | F32 | blk.47.attn_norm.weight
864: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.47.ffn_down_exps.weight
865: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.47.ffn_gate_exps.weight
866: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.47.ffn_up_exps.weight
867: 786432 | 3072, 256, 1, 1 | F32 | blk.47.ffn_gate_inp.weight
868: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.47.ffn_down_shexp.weight
869: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.47.ffn_gate_shexp.weight
870: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.47.ffn_up_shexp.weight
871: 3072 | 3072, 1, 1, 1 | F32 | blk.47.ffn_gate_inp_shexp.weight
872: 3072 | 3072, 1, 1, 1 | F32 | blk.47.post_attention_norm.weight
873: 256 | 256, 1, 1, 1 | F32 | blk.47.attn_k_norm.weight
874: 1572864 | 3072, 512, 1, 1 | BF16 | blk.47.attn_k.weight
875: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.47.attn_output.weight
876: 256 | 256, 1, 1, 1 | F32 | blk.47.attn_q_norm.weight
877: 50331648 | 3072, 16384, 1, 1 | BF16 | blk.47.attn_q.weight
878: 1572864 | 3072, 512, 1, 1 | BF16 | blk.47.attn_v.weight
879: 3072 | 3072, 1, 1, 1 | F32 | output_norm.weight
</details>
**MQ68 (Mixed Quant Q6_K - Q8_0)**
<details>
<summary>llama-quantize params and gguf-dump</summary>
--leave-output-tensor
--tensor-type ".*ffn_down_exps\.weight=q6_k"
--tensor-type ".*ffn_gate_exps\.weight=q6_k"
--tensor-type ".*ffn_up_exps\.weight=q6_k"
Q8_0
1: UINT32 | 1 | GGUF.version = 3
2: UINT64 | 1 | GGUF.tensor_count = 879
3: UINT64 | 1 | GGUF.kv_count = 43
4: STRING | 1 | general.architecture = 'qwen35moe'
5: STRING | 1 | general.type = 'model'
6: INT32 | 1 | general.sampling.top_k = 20
7: FLOAT32 | 1 | general.sampling.top_p = 0.949999988079071
8: FLOAT32 | 1 | general.sampling.temp = 0.6000000238418579
9: STRING | 1 | general.name = 'Qwen3.5 122B A10B Wangzhang Abliterix No MTP'
10: STRING | 1 | general.size_label = '256x6.6B'
11: UINT32 | 1 | general.base_model.count = 1
12: STRING | 1 | general.base_model.0.name = 'Qwen3.5 122B A10B'
13: STRING | 1 | general.base_model.0.organization = 'Qwen'
14: STRING | 1 | general.base_model.0.repo_url = 'https://huggingface.co/Qwen/Qwen3.5-122B-A10B'
15: [STRING] | 5 | general.tags = ['abliterix', 'uncensored', 'decensored', 'abliterated', 'text-generation']
16: UINT32 | 1 | qwen35moe.block_count = 48
17: UINT32 | 1 | qwen35moe.context_length = 262144
18: UINT32 | 1 | qwen35moe.embedding_length = 3072
19: UINT32 | 1 | qwen35moe.attention.head_count = 32
20: UINT32 | 1 | qwen35moe.attention.head_count_kv = 2
21: [INT32] | 4 | qwen35moe.rope.dimension_sections = [11, 11, 10, 0]
22: FLOAT32 | 1 | qwen35moe.rope.freq_base = 10000000.0
23: FLOAT32 | 1 | qwen35moe.attention.layer_norm_rms_epsilon = 9.999999974752427e-07
24: UINT32 | 1 | qwen35moe.expert_count = 256
25: UINT32 | 1 | qwen35moe.expert_used_count = 8
26: UINT32 | 1 | qwen35moe.attention.key_length = 256
27: UINT32 | 1 | qwen35moe.attention.value_length = 256
28: UINT32 | 1 | qwen35moe.expert_feed_forward_length = 1024
29: UINT32 | 1 | qwen35moe.expert_shared_feed_forward_length = 1024
30: UINT32 | 1 | qwen35moe.ssm.conv_kernel = 4
31: UINT32 | 1 | qwen35moe.ssm.state_size = 128
32: UINT32 | 1 | qwen35moe.ssm.group_count = 16
33: UINT32 | 1 | qwen35moe.ssm.time_step_rank = 64
34: UINT32 | 1 | qwen35moe.ssm.inner_size = 8192
35: UINT32 | 1 | qwen35moe.full_attention_interval = 4
36: UINT32 | 1 | qwen35moe.rope.dimension_count = 64
37: STRING | 1 | tokenizer.ggml.model = 'gpt2'
38: STRING | 1 | tokenizer.ggml.pre = 'qwen35'
39: [STRING] | 248320 | tokenizer.ggml.tokens = ['!', '"', '#', '$', '%', '&', ...]
40: [INT32] | 248320 | tokenizer.ggml.token_type = [1, 1, 1, 1, 1, 1, ...]
41: [STRING] | 247587 | tokenizer.ggml.merges = ['Ġ Ġ', 'ĠĠ ĠĠ', 'i n', 'Ġ t', 'ĠĠĠĠ ĠĠĠĠ', 'e r', ...]
42: UINT32 | 1 | tokenizer.ggml.eos_token_id = 248046
43: UINT32 | 1 | tokenizer.ggml.padding_token_id = 248044
44: STRING | 1 | tokenizer.chat_template = '{%- set image_count = namespace(value=0) %}\n{%- set video...'
45: UINT32 | 1 | general.quantization_version = 2
46: UINT32 | 1 | general.file_type = 7
1: 762839040 | 3072, 248320, 1, 1 | BF16 | output.weight
2: 3072 | 3072, 1, 1, 1 | F32 | output_norm.weight
3: 762839040 | 3072, 248320, 1, 1 | Q8_0 | token_embd.weight
4: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.0.attn_gate.weight
5: 3072 | 3072, 1, 1, 1 | F32 | blk.0.attn_norm.weight
6: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.0.attn_qkv.weight
7: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.0.ffn_down_exps.weight
8: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.0.ffn_down_shexp.weight
9: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.0.ffn_gate_exps.weight
10: 786432 | 3072, 256, 1, 1 | F32 | blk.0.ffn_gate_inp.weight
11: 3072 | 3072, 1, 1, 1 | F32 | blk.0.ffn_gate_inp_shexp.weight
12: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.0.ffn_gate_shexp.weight
13: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.0.ffn_up_exps.weight
14: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.0.ffn_up_shexp.weight
15: 3072 | 3072, 1, 1, 1 | F32 | blk.0.post_attention_norm.weight
16: 64 | 64, 1, 1, 1 | F32 | blk.0.ssm_a
17: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.0.ssm_alpha.weight
18: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.0.ssm_beta.weight
19: 49152 | 4, 12288, 1, 1 | F32 | blk.0.ssm_conv1d.weight
20: 64 | 64, 1, 1, 1 | F32 | blk.0.ssm_dt.bias
21: 128 | 128, 1, 1, 1 | F32 | blk.0.ssm_norm.weight
22: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.0.ssm_out.weight
23: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.1.attn_gate.weight
24: 3072 | 3072, 1, 1, 1 | F32 | blk.1.attn_norm.weight
25: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.1.attn_qkv.weight
26: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.1.ffn_down_exps.weight
27: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.1.ffn_down_shexp.weight
28: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.1.ffn_gate_exps.weight
29: 786432 | 3072, 256, 1, 1 | F32 | blk.1.ffn_gate_inp.weight
30: 3072 | 3072, 1, 1, 1 | F32 | blk.1.ffn_gate_inp_shexp.weight
31: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.1.ffn_gate_shexp.weight
32: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.1.ffn_up_exps.weight
33: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.1.ffn_up_shexp.weight
34: 3072 | 3072, 1, 1, 1 | F32 | blk.1.post_attention_norm.weight
35: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_a
36: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.1.ssm_alpha.weight
37: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.1.ssm_beta.weight
38: 49152 | 4, 12288, 1, 1 | F32 | blk.1.ssm_conv1d.weight
39: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_dt.bias
40: 128 | 128, 1, 1, 1 | F32 | blk.1.ssm_norm.weight
41: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.1.ssm_out.weight
42: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.2.attn_gate.weight
43: 3072 | 3072, 1, 1, 1 | F32 | blk.2.attn_norm.weight
44: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.2.attn_qkv.weight
45: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.2.ffn_down_exps.weight
46: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.2.ffn_down_shexp.weight
47: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.2.ffn_gate_exps.weight
48: 786432 | 3072, 256, 1, 1 | F32 | blk.2.ffn_gate_inp.weight
49: 3072 | 3072, 1, 1, 1 | F32 | blk.2.ffn_gate_inp_shexp.weight
50: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.2.ffn_gate_shexp.weight
51: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.2.ffn_up_exps.weight
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775: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.42.ffn_down_exps.weight
776: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.42.ffn_down_shexp.weight
777: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.42.ffn_gate_exps.weight
778: 786432 | 3072, 256, 1, 1 | F32 | blk.42.ffn_gate_inp.weight
779: 3072 | 3072, 1, 1, 1 | F32 | blk.42.ffn_gate_inp_shexp.weight
780: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.42.ffn_gate_shexp.weight
781: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.42.ffn_up_exps.weight
782: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.42.ffn_up_shexp.weight
783: 3072 | 3072, 1, 1, 1 | F32 | blk.42.post_attention_norm.weight
784: 64 | 64, 1, 1, 1 | F32 | blk.42.ssm_a
785: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.42.ssm_alpha.weight
786: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.42.ssm_beta.weight
787: 49152 | 4, 12288, 1, 1 | F32 | blk.42.ssm_conv1d.weight
788: 64 | 64, 1, 1, 1 | F32 | blk.42.ssm_dt.bias
789: 128 | 128, 1, 1, 1 | F32 | blk.42.ssm_norm.weight
790: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.42.ssm_out.weight
791: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.43.attn_k.weight
792: 256 | 256, 1, 1, 1 | F32 | blk.43.attn_k_norm.weight
793: 3072 | 3072, 1, 1, 1 | F32 | blk.43.attn_norm.weight
794: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.43.attn_output.weight
795: 50331648 | 3072, 16384, 1, 1 | Q8_0 | blk.43.attn_q.weight
796: 256 | 256, 1, 1, 1 | F32 | blk.43.attn_q_norm.weight
797: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.43.attn_v.weight
798: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.43.ffn_down_exps.weight
799: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.43.ffn_down_shexp.weight
800: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.43.ffn_gate_exps.weight
801: 786432 | 3072, 256, 1, 1 | F32 | blk.43.ffn_gate_inp.weight
802: 3072 | 3072, 1, 1, 1 | F32 | blk.43.ffn_gate_inp_shexp.weight
803: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.43.ffn_gate_shexp.weight
804: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.43.ffn_up_exps.weight
805: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.43.ffn_up_shexp.weight
806: 3072 | 3072, 1, 1, 1 | F32 | blk.43.post_attention_norm.weight
807: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.44.attn_gate.weight
808: 3072 | 3072, 1, 1, 1 | F32 | blk.44.attn_norm.weight
809: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.44.attn_qkv.weight
810: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.44.ffn_down_exps.weight
811: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.44.ffn_down_shexp.weight
812: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.44.ffn_gate_exps.weight
813: 786432 | 3072, 256, 1, 1 | F32 | blk.44.ffn_gate_inp.weight
814: 3072 | 3072, 1, 1, 1 | F32 | blk.44.ffn_gate_inp_shexp.weight
815: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.44.ffn_gate_shexp.weight
816: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.44.ffn_up_exps.weight
817: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.44.ffn_up_shexp.weight
818: 3072 | 3072, 1, 1, 1 | F32 | blk.44.post_attention_norm.weight
819: 64 | 64, 1, 1, 1 | F32 | blk.44.ssm_a
820: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.44.ssm_alpha.weight
821: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.44.ssm_beta.weight
822: 49152 | 4, 12288, 1, 1 | F32 | blk.44.ssm_conv1d.weight
823: 64 | 64, 1, 1, 1 | F32 | blk.44.ssm_dt.bias
824: 128 | 128, 1, 1, 1 | F32 | blk.44.ssm_norm.weight
825: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.44.ssm_out.weight
826: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.45.attn_gate.weight
827: 3072 | 3072, 1, 1, 1 | F32 | blk.45.attn_norm.weight
828: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.45.attn_qkv.weight
829: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.45.ffn_down_exps.weight
830: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.45.ffn_down_shexp.weight
831: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.45.ffn_gate_exps.weight
832: 786432 | 3072, 256, 1, 1 | F32 | blk.45.ffn_gate_inp.weight
833: 3072 | 3072, 1, 1, 1 | F32 | blk.45.ffn_gate_inp_shexp.weight
834: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.45.ffn_gate_shexp.weight
835: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.45.ffn_up_exps.weight
836: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.45.ffn_up_shexp.weight
837: 3072 | 3072, 1, 1, 1 | F32 | blk.45.post_attention_norm.weight
838: 64 | 64, 1, 1, 1 | F32 | blk.45.ssm_a
839: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.45.ssm_alpha.weight
840: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.45.ssm_beta.weight
841: 49152 | 4, 12288, 1, 1 | F32 | blk.45.ssm_conv1d.weight
842: 64 | 64, 1, 1, 1 | F32 | blk.45.ssm_dt.bias
843: 128 | 128, 1, 1, 1 | F32 | blk.45.ssm_norm.weight
844: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.45.ssm_out.weight
845: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.46.attn_gate.weight
846: 3072 | 3072, 1, 1, 1 | F32 | blk.46.attn_norm.weight
847: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.46.attn_qkv.weight
848: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.46.ffn_down_exps.weight
849: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.46.ffn_down_shexp.weight
850: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.46.ffn_gate_exps.weight
851: 786432 | 3072, 256, 1, 1 | F32 | blk.46.ffn_gate_inp.weight
852: 3072 | 3072, 1, 1, 1 | F32 | blk.46.ffn_gate_inp_shexp.weight
853: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.46.ffn_gate_shexp.weight
854: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.46.ffn_up_exps.weight
855: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.46.ffn_up_shexp.weight
856: 3072 | 3072, 1, 1, 1 | F32 | blk.46.post_attention_norm.weight
857: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_a
858: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.46.ssm_alpha.weight
859: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.46.ssm_beta.weight
860: 49152 | 4, 12288, 1, 1 | F32 | blk.46.ssm_conv1d.weight
861: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_dt.bias
862: 128 | 128, 1, 1, 1 | F32 | blk.46.ssm_norm.weight
863: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.46.ssm_out.weight
864: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.47.attn_k.weight
865: 256 | 256, 1, 1, 1 | F32 | blk.47.attn_k_norm.weight
866: 3072 | 3072, 1, 1, 1 | F32 | blk.47.attn_norm.weight
867: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.47.attn_output.weight
868: 50331648 | 3072, 16384, 1, 1 | Q8_0 | blk.47.attn_q.weight
869: 256 | 256, 1, 1, 1 | F32 | blk.47.attn_q_norm.weight
870: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.47.attn_v.weight
871: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.47.ffn_down_exps.weight
872: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.47.ffn_down_shexp.weight
873: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.47.ffn_gate_exps.weight
874: 786432 | 3072, 256, 1, 1 | F32 | blk.47.ffn_gate_inp.weight
875: 3072 | 3072, 1, 1, 1 | F32 | blk.47.ffn_gate_inp_shexp.weight
876: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.47.ffn_gate_shexp.weight
877: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.47.ffn_up_exps.weight
878: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.47.ffn_up_shexp.weight
879: 3072 | 3072, 1, 1, 1 | F32 | blk.47.post_attention_norm.weight
</details>
**MQ516_special (Mixed Quant Q5_K - BF16, Special Purpose)**
<details>
<summary>llama-quantize params and gguf-dump</summary>
--leave-output-tensor
--tensor-type "blk\.(0|1|2|4|5|6|8|9|10)\..*ffn_(down|gate|up)_exps\.weight=q5_k"
--tensor-type ".*ffn_(down|gate|up)_shexp\.weight=bf16"
--tensor-type "blk\.(3|7|11|15|19|23|27|31|35|39|43|47)\..*attn_(q|k|v|output)\.weight=bf16"
--tensor-type ".*ssm_(alpha|beta|out)\.weight=bf16"
--tensor-type "token_embd\.weight=bf16"
--tensor-type ".*attn_(qkv|gate)\.weight=bf16"
Q6_K
1: UINT32 | 1 | GGUF.version = 3
2: UINT64 | 1 | GGUF.tensor_count = 879
3: UINT64 | 1 | GGUF.kv_count = 43
4: STRING | 1 | general.architecture = 'qwen35moe'
5: STRING | 1 | general.type = 'model'
6: INT32 | 1 | general.sampling.top_k = 20
7: FLOAT32 | 1 | general.sampling.top_p = 0.949999988079071
8: FLOAT32 | 1 | general.sampling.temp = 0.6000000238418579
9: STRING | 1 | general.name = 'Qwen3.5 122B A10B Wangzhang Abliterix No MTP'
10: STRING | 1 | general.size_label = '256x6.6B'
11: UINT32 | 1 | general.base_model.count = 1
12: STRING | 1 | general.base_model.0.name = 'Qwen3.5 122B A10B'
13: STRING | 1 | general.base_model.0.organization = 'Qwen'
14: STRING | 1 | general.base_model.0.repo_url = 'https://huggingface.co/Qwen/Qwen3.5-122B-A10B'
15: [STRING] | 5 | general.tags = ['abliterix', 'uncensored', 'decensored', 'abliterated', 'text-generation']
16: UINT32 | 1 | qwen35moe.block_count = 48
17: UINT32 | 1 | qwen35moe.context_length = 262144
18: UINT32 | 1 | qwen35moe.embedding_length = 3072
19: UINT32 | 1 | qwen35moe.attention.head_count = 32
20: UINT32 | 1 | qwen35moe.attention.head_count_kv = 2
21: [INT32] | 4 | qwen35moe.rope.dimension_sections = [11, 11, 10, 0]
22: FLOAT32 | 1 | qwen35moe.rope.freq_base = 10000000.0
23: FLOAT32 | 1 | qwen35moe.attention.layer_norm_rms_epsilon = 9.999999974752427e-07
24: UINT32 | 1 | qwen35moe.expert_count = 256
25: UINT32 | 1 | qwen35moe.expert_used_count = 8
26: UINT32 | 1 | qwen35moe.attention.key_length = 256
27: UINT32 | 1 | qwen35moe.attention.value_length = 256
28: UINT32 | 1 | qwen35moe.expert_feed_forward_length = 1024
29: UINT32 | 1 | qwen35moe.expert_shared_feed_forward_length = 1024
30: UINT32 | 1 | qwen35moe.ssm.conv_kernel = 4
31: UINT32 | 1 | qwen35moe.ssm.state_size = 128
32: UINT32 | 1 | qwen35moe.ssm.group_count = 16
33: UINT32 | 1 | qwen35moe.ssm.time_step_rank = 64
34: UINT32 | 1 | qwen35moe.ssm.inner_size = 8192
35: UINT32 | 1 | qwen35moe.full_attention_interval = 4
36: UINT32 | 1 | qwen35moe.rope.dimension_count = 64
37: STRING | 1 | tokenizer.ggml.model = 'gpt2'
38: STRING | 1 | tokenizer.ggml.pre = 'qwen35'
39: [STRING] | 248320 | tokenizer.ggml.tokens = ['!', '"', '#', '$', '%', '&', ...]
40: [INT32] | 248320 | tokenizer.ggml.token_type = [1, 1, 1, 1, 1, 1, ...]
41: [STRING] | 247587 | tokenizer.ggml.merges = ['Ġ Ġ', 'ĠĠ ĠĠ', 'i n', 'Ġ t', 'ĠĠĠĠ ĠĠĠĠ', 'e r', ...]
42: UINT32 | 1 | tokenizer.ggml.eos_token_id = 248046
43: UINT32 | 1 | tokenizer.ggml.padding_token_id = 248044
44: STRING | 1 | tokenizer.chat_template = '{%- set image_count = namespace(value=0) %}\n{%- set video...'
45: UINT32 | 1 | general.quantization_version = 2
46: UINT32 | 1 | general.file_type = 18
1: 762839040 | 3072, 248320, 1, 1 | BF16 | output.weight
2: 3072 | 3072, 1, 1, 1 | F32 | output_norm.weight
3: 762839040 | 3072, 248320, 1, 1 | BF16 | token_embd.weight
4: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.0.attn_gate.weight
5: 3072 | 3072, 1, 1, 1 | F32 | blk.0.attn_norm.weight
6: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.0.attn_qkv.weight
7: 805306368 | 1024, 3072, 256, 1 | Q5_K | blk.0.ffn_down_exps.weight
8: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.0.ffn_down_shexp.weight
9: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.0.ffn_gate_exps.weight
10: 786432 | 3072, 256, 1, 1 | F32 | blk.0.ffn_gate_inp.weight
11: 3072 | 3072, 1, 1, 1 | F32 | blk.0.ffn_gate_inp_shexp.weight
12: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.0.ffn_gate_shexp.weight
13: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.0.ffn_up_exps.weight
14: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.0.ffn_up_shexp.weight
15: 3072 | 3072, 1, 1, 1 | F32 | blk.0.post_attention_norm.weight
16: 64 | 64, 1, 1, 1 | F32 | blk.0.ssm_a
17: 196608 | 3072, 64, 1, 1 | BF16 | blk.0.ssm_alpha.weight
18: 196608 | 3072, 64, 1, 1 | BF16 | blk.0.ssm_beta.weight
19: 49152 | 4, 12288, 1, 1 | F32 | blk.0.ssm_conv1d.weight
20: 64 | 64, 1, 1, 1 | F32 | blk.0.ssm_dt.bias
21: 128 | 128, 1, 1, 1 | F32 | blk.0.ssm_norm.weight
22: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.0.ssm_out.weight
23: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.1.attn_gate.weight
24: 3072 | 3072, 1, 1, 1 | F32 | blk.1.attn_norm.weight
25: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.1.attn_qkv.weight
26: 805306368 | 1024, 3072, 256, 1 | Q5_K | blk.1.ffn_down_exps.weight
27: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.1.ffn_down_shexp.weight
28: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.1.ffn_gate_exps.weight
29: 786432 | 3072, 256, 1, 1 | F32 | blk.1.ffn_gate_inp.weight
30: 3072 | 3072, 1, 1, 1 | F32 | blk.1.ffn_gate_inp_shexp.weight
31: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.1.ffn_gate_shexp.weight
32: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.1.ffn_up_exps.weight
33: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.1.ffn_up_shexp.weight
34: 3072 | 3072, 1, 1, 1 | F32 | blk.1.post_attention_norm.weight
35: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_a
36: 196608 | 3072, 64, 1, 1 | BF16 | blk.1.ssm_alpha.weight
37: 196608 | 3072, 64, 1, 1 | BF16 | blk.1.ssm_beta.weight
38: 49152 | 4, 12288, 1, 1 | F32 | blk.1.ssm_conv1d.weight
39: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_dt.bias
40: 128 | 128, 1, 1, 1 | F32 | blk.1.ssm_norm.weight
41: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.1.ssm_out.weight
42: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.2.attn_gate.weight
43: 3072 | 3072, 1, 1, 1 | F32 | blk.2.attn_norm.weight
44: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.2.attn_qkv.weight
45: 805306368 | 1024, 3072, 256, 1 | Q5_K | blk.2.ffn_down_exps.weight
46: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.2.ffn_down_shexp.weight
47: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.2.ffn_gate_exps.weight
48: 786432 | 3072, 256, 1, 1 | F32 | blk.2.ffn_gate_inp.weight
49: 3072 | 3072, 1, 1, 1 | F32 | blk.2.ffn_gate_inp_shexp.weight
50: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.2.ffn_gate_shexp.weight
51: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.2.ffn_up_exps.weight
52: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.2.ffn_up_shexp.weight
53: 3072 | 3072, 1, 1, 1 | F32 | blk.2.post_attention_norm.weight
54: 64 | 64, 1, 1, 1 | F32 | blk.2.ssm_a
55: 196608 | 3072, 64, 1, 1 | BF16 | blk.2.ssm_alpha.weight
56: 196608 | 3072, 64, 1, 1 | BF16 | blk.2.ssm_beta.weight
57: 49152 | 4, 12288, 1, 1 | F32 | blk.2.ssm_conv1d.weight
58: 64 | 64, 1, 1, 1 | F32 | blk.2.ssm_dt.bias
59: 128 | 128, 1, 1, 1 | F32 | blk.2.ssm_norm.weight
60: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.2.ssm_out.weight
61: 1572864 | 3072, 512, 1, 1 | BF16 | blk.3.attn_k.weight
62: 256 | 256, 1, 1, 1 | F32 | blk.3.attn_k_norm.weight
63: 3072 | 3072, 1, 1, 1 | F32 | blk.3.attn_norm.weight
64: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.3.attn_output.weight
65: 50331648 | 3072, 16384, 1, 1 | BF16 | blk.3.attn_q.weight
66: 256 | 256, 1, 1, 1 | F32 | blk.3.attn_q_norm.weight
67: 1572864 | 3072, 512, 1, 1 | BF16 | blk.3.attn_v.weight
68: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.3.ffn_down_exps.weight
69: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.3.ffn_down_shexp.weight
70: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.3.ffn_gate_exps.weight
71: 786432 | 3072, 256, 1, 1 | F32 | blk.3.ffn_gate_inp.weight
72: 3072 | 3072, 1, 1, 1 | F32 | blk.3.ffn_gate_inp_shexp.weight
73: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.3.ffn_gate_shexp.weight
74: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.3.ffn_up_exps.weight
75: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.3.ffn_up_shexp.weight
76: 3072 | 3072, 1, 1, 1 | F32 | blk.3.post_attention_norm.weight
77: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.4.attn_gate.weight
78: 3072 | 3072, 1, 1, 1 | F32 | blk.4.attn_norm.weight
79: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.4.attn_qkv.weight
80: 805306368 | 1024, 3072, 256, 1 | Q5_K | blk.4.ffn_down_exps.weight
81: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.4.ffn_down_shexp.weight
82: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.4.ffn_gate_exps.weight
83: 786432 | 3072, 256, 1, 1 | F32 | blk.4.ffn_gate_inp.weight
84: 3072 | 3072, 1, 1, 1 | F32 | blk.4.ffn_gate_inp_shexp.weight
85: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.4.ffn_gate_shexp.weight
86: 805306368 | 3072, 1024, 256, 1 | Q5_K | blk.4.ffn_up_exps.weight
87: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.4.ffn_up_shexp.weight
88: 3072 | 3072, 1, 1, 1 | F32 | blk.4.post_attention_norm.weight
89: 64 | 64, 1, 1, 1 | F32 | blk.4.ssm_a
90: 196608 | 3072, 64, 1, 1 | BF16 | blk.4.ssm_alpha.weight
91: 196608 | 3072, 64, 1, 1 | BF16 | blk.4.ssm_beta.weight
92: 49152 | 4, 12288, 1, 1 | F32 | blk.4.ssm_conv1d.weight
93: 64 | 64, 1, 1, 1 | F32 | blk.4.ssm_dt.bias
94: 128 | 128, 1, 1, 1 | F32 | blk.4.ssm_norm.weight
95: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.4.ssm_out.weight
96: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.5.attn_gate.weight
97: 3072 | 3072, 1, 1, 1 | F32 | blk.5.attn_norm.weight
98: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.5.attn_qkv.weight
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830: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.45.ffn_down_shexp.weight
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832: 786432 | 3072, 256, 1, 1 | F32 | blk.45.ffn_gate_inp.weight
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842: 64 | 64, 1, 1, 1 | F32 | blk.45.ssm_dt.bias
843: 128 | 128, 1, 1, 1 | F32 | blk.45.ssm_norm.weight
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846: 3072 | 3072, 1, 1, 1 | F32 | blk.46.attn_norm.weight
847: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.46.attn_qkv.weight
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850: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.46.ffn_gate_exps.weight
851: 786432 | 3072, 256, 1, 1 | F32 | blk.46.ffn_gate_inp.weight
852: 3072 | 3072, 1, 1, 1 | F32 | blk.46.ffn_gate_inp_shexp.weight
853: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.46.ffn_gate_shexp.weight
854: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.46.ffn_up_exps.weight
855: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.46.ffn_up_shexp.weight
856: 3072 | 3072, 1, 1, 1 | F32 | blk.46.post_attention_norm.weight
857: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_a
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859: 196608 | 3072, 64, 1, 1 | BF16 | blk.46.ssm_beta.weight
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861: 64 | 64, 1, 1, 1 | F32 | blk.46.ssm_dt.bias
862: 128 | 128, 1, 1, 1 | F32 | blk.46.ssm_norm.weight
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866: 3072 | 3072, 1, 1, 1 | F32 | blk.47.attn_norm.weight
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870: 1572864 | 3072, 512, 1, 1 | BF16 | blk.47.attn_v.weight
871: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.47.ffn_down_exps.weight
872: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.47.ffn_down_shexp.weight
873: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.47.ffn_gate_exps.weight
874: 786432 | 3072, 256, 1, 1 | F32 | blk.47.ffn_gate_inp.weight
875: 3072 | 3072, 1, 1, 1 | F32 | blk.47.ffn_gate_inp_shexp.weight
876: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.47.ffn_gate_shexp.weight
877: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.47.ffn_up_exps.weight
878: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.47.ffn_up_shexp.weight
879: 3072 | 3072, 1, 1, 1 | F32 | blk.47.post_attention_norm.weight
</details> |