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"
base_model: Qwen/Qwen3.5-122B-A10B
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.- 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 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.
The upstream source model was altered by the Abliterix algorithm, causing degradation in emotional resonance, empathy, and literary creativity. It now exhibits a cold, mechanical personality (less severe than the 35B-A3B variant). This makes it highly effective for critical review tasks but suboptimal for creative writing. For models with restored emotional capabilities, please use the Heretic variants instead.
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
gguf-dump
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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25: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_dt.bias
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633: 128 | 128, 1, 1, 1 | F32 | blk.34.ssm_norm.weight
634: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.34.ssm_out.weight
635: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.34.ffn_down_exps.weight
636: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.34.ffn_gate_exps.weight
637: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.34.ffn_up_exps.weight
638: 786432 | 3072, 256, 1, 1 | F32 | blk.34.ffn_gate_inp.weight
639: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.34.ffn_down_shexp.weight
640: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.34.ffn_gate_shexp.weight
641: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.34.ffn_up_shexp.weight
642: 3072 | 3072, 1, 1, 1 | F32 | blk.34.ffn_gate_inp_shexp.weight
643: 3072 | 3072, 1, 1, 1 | F32 | blk.34.post_attention_norm.weight
644: 3072 | 3072, 1, 1, 1 | F32 | blk.35.attn_norm.weight
645: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.35.ffn_down_exps.weight
646: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.35.ffn_gate_exps.weight
647: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.35.ffn_up_exps.weight
648: 786432 | 3072, 256, 1, 1 | F32 | blk.35.ffn_gate_inp.weight
649: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.35.ffn_down_shexp.weight
650: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.35.ffn_gate_shexp.weight
651: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.35.ffn_up_shexp.weight
652: 3072 | 3072, 1, 1, 1 | F32 | blk.35.ffn_gate_inp_shexp.weight
653: 3072 | 3072, 1, 1, 1 | F32 | blk.35.post_attention_norm.weight
654: 256 | 256, 1, 1, 1 | F32 | blk.35.attn_k_norm.weight
655: 1572864 | 3072, 512, 1, 1 | BF16 | blk.35.attn_k.weight
656: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.35.attn_output.weight
657: 256 | 256, 1, 1, 1 | F32 | blk.35.attn_q_norm.weight
658: 50331648 | 3072, 16384, 1, 1 | BF16 | blk.35.attn_q.weight
659: 1572864 | 3072, 512, 1, 1 | BF16 | blk.35.attn_v.weight
660: 3072 | 3072, 1, 1, 1 | F32 | blk.36.attn_norm.weight
661: 64 | 64, 1, 1, 1 | F32 | blk.36.ssm_a
662: 49152 | 4, 12288, 1, 1 | F32 | blk.36.ssm_conv1d.weight
663: 64 | 64, 1, 1, 1 | F32 | blk.36.ssm_dt.bias
664: 196608 | 3072, 64, 1, 1 | BF16 | blk.36.ssm_alpha.weight
665: 196608 | 3072, 64, 1, 1 | BF16 | blk.36.ssm_beta.weight
666: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.36.attn_qkv.weight
667: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.36.attn_gate.weight
668: 128 | 128, 1, 1, 1 | F32 | blk.36.ssm_norm.weight
669: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.36.ssm_out.weight
670: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.36.ffn_down_exps.weight
671: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.36.ffn_gate_exps.weight
672: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.36.ffn_up_exps.weight
673: 786432 | 3072, 256, 1, 1 | F32 | blk.36.ffn_gate_inp.weight
674: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.36.ffn_down_shexp.weight
675: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.36.ffn_gate_shexp.weight
676: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.36.ffn_up_shexp.weight
677: 3072 | 3072, 1, 1, 1 | F32 | blk.36.ffn_gate_inp_shexp.weight
678: 3072 | 3072, 1, 1, 1 | F32 | blk.36.post_attention_norm.weight
679: 3072 | 3072, 1, 1, 1 | F32 | blk.37.attn_norm.weight
680: 64 | 64, 1, 1, 1 | F32 | blk.37.ssm_a
681: 49152 | 4, 12288, 1, 1 | F32 | blk.37.ssm_conv1d.weight
682: 64 | 64, 1, 1, 1 | F32 | blk.37.ssm_dt.bias
683: 196608 | 3072, 64, 1, 1 | BF16 | blk.37.ssm_alpha.weight
684: 196608 | 3072, 64, 1, 1 | BF16 | blk.37.ssm_beta.weight
685: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.37.attn_qkv.weight
686: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.37.attn_gate.weight
687: 128 | 128, 1, 1, 1 | F32 | blk.37.ssm_norm.weight
688: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.37.ssm_out.weight
689: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.37.ffn_down_exps.weight
690: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.37.ffn_gate_exps.weight
691: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.37.ffn_up_exps.weight
692: 786432 | 3072, 256, 1, 1 | F32 | blk.37.ffn_gate_inp.weight
693: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.37.ffn_down_shexp.weight
694: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.37.ffn_gate_shexp.weight
695: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.37.ffn_up_shexp.weight
696: 3072 | 3072, 1, 1, 1 | F32 | blk.37.ffn_gate_inp_shexp.weight
697: 3072 | 3072, 1, 1, 1 | F32 | blk.37.post_attention_norm.weight
698: 3072 | 3072, 1, 1, 1 | F32 | blk.38.attn_norm.weight
699: 64 | 64, 1, 1, 1 | F32 | blk.38.ssm_a
700: 49152 | 4, 12288, 1, 1 | F32 | blk.38.ssm_conv1d.weight
701: 64 | 64, 1, 1, 1 | F32 | blk.38.ssm_dt.bias
702: 196608 | 3072, 64, 1, 1 | BF16 | blk.38.ssm_alpha.weight
703: 196608 | 3072, 64, 1, 1 | BF16 | blk.38.ssm_beta.weight
704: 37748736 | 3072, 12288, 1, 1 | BF16 | blk.38.attn_qkv.weight
705: 25165824 | 3072, 8192, 1, 1 | BF16 | blk.38.attn_gate.weight
706: 128 | 128, 1, 1, 1 | F32 | blk.38.ssm_norm.weight
707: 25165824 | 8192, 3072, 1, 1 | BF16 | blk.38.ssm_out.weight
708: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.38.ffn_down_exps.weight
709: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.38.ffn_gate_exps.weight
710: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.38.ffn_up_exps.weight
711: 786432 | 3072, 256, 1, 1 | F32 | blk.38.ffn_gate_inp.weight
712: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.38.ffn_down_shexp.weight
713: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.38.ffn_gate_shexp.weight
714: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.38.ffn_up_shexp.weight
715: 3072 | 3072, 1, 1, 1 | F32 | blk.38.ffn_gate_inp_shexp.weight
716: 3072 | 3072, 1, 1, 1 | F32 | blk.38.post_attention_norm.weight
717: 3072 | 3072, 1, 1, 1 | F32 | blk.39.attn_norm.weight
718: 805306368 | 1024, 3072, 256, 1 | BF16 | blk.39.ffn_down_exps.weight
719: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.39.ffn_gate_exps.weight
720: 805306368 | 3072, 1024, 256, 1 | BF16 | blk.39.ffn_up_exps.weight
721: 786432 | 3072, 256, 1, 1 | F32 | blk.39.ffn_gate_inp.weight
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
MQ68 (Mixed Quant Q6_K - Q8_0)
llama-quantize params and gguf-dump
--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
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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
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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
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20: 64 | 64, 1, 1, 1 | F32 | blk.0.ssm_dt.bias
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37: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.1.ssm_beta.weight
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39: 64 | 64, 1, 1, 1 | F32 | blk.1.ssm_dt.bias
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49: 3072 | 3072, 1, 1, 1 | F32 | blk.2.ffn_gate_inp_shexp.weight
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51: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.2.ffn_up_exps.weight
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58: 64 | 64, 1, 1, 1 | F32 | blk.2.ssm_dt.bias
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688: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.37.ffn_gate_shexp.weight
689: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.37.ffn_up_exps.weight
690: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.37.ffn_up_shexp.weight
691: 3072 | 3072, 1, 1, 1 | F32 | blk.37.post_attention_norm.weight
692: 64 | 64, 1, 1, 1 | F32 | blk.37.ssm_a
693: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.37.ssm_alpha.weight
694: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.37.ssm_beta.weight
695: 49152 | 4, 12288, 1, 1 | F32 | blk.37.ssm_conv1d.weight
696: 64 | 64, 1, 1, 1 | F32 | blk.37.ssm_dt.bias
697: 128 | 128, 1, 1, 1 | F32 | blk.37.ssm_norm.weight
698: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.37.ssm_out.weight
699: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.38.attn_gate.weight
700: 3072 | 3072, 1, 1, 1 | F32 | blk.38.attn_norm.weight
701: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.38.attn_qkv.weight
702: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.38.ffn_down_exps.weight
703: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.38.ffn_down_shexp.weight
704: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.38.ffn_gate_exps.weight
705: 786432 | 3072, 256, 1, 1 | F32 | blk.38.ffn_gate_inp.weight
706: 3072 | 3072, 1, 1, 1 | F32 | blk.38.ffn_gate_inp_shexp.weight
707: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.38.ffn_gate_shexp.weight
708: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.38.ffn_up_exps.weight
709: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.38.ffn_up_shexp.weight
710: 3072 | 3072, 1, 1, 1 | F32 | blk.38.post_attention_norm.weight
711: 64 | 64, 1, 1, 1 | F32 | blk.38.ssm_a
712: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.38.ssm_alpha.weight
713: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.38.ssm_beta.weight
714: 49152 | 4, 12288, 1, 1 | F32 | blk.38.ssm_conv1d.weight
715: 64 | 64, 1, 1, 1 | F32 | blk.38.ssm_dt.bias
716: 128 | 128, 1, 1, 1 | F32 | blk.38.ssm_norm.weight
717: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.38.ssm_out.weight
718: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.39.attn_k.weight
719: 256 | 256, 1, 1, 1 | F32 | blk.39.attn_k_norm.weight
720: 3072 | 3072, 1, 1, 1 | F32 | blk.39.attn_norm.weight
721: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.39.attn_output.weight
722: 50331648 | 3072, 16384, 1, 1 | Q8_0 | blk.39.attn_q.weight
723: 256 | 256, 1, 1, 1 | F32 | blk.39.attn_q_norm.weight
724: 1572864 | 3072, 512, 1, 1 | Q8_0 | blk.39.attn_v.weight
725: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.39.ffn_down_exps.weight
726: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.39.ffn_down_shexp.weight
727: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.39.ffn_gate_exps.weight
728: 786432 | 3072, 256, 1, 1 | F32 | blk.39.ffn_gate_inp.weight
729: 3072 | 3072, 1, 1, 1 | F32 | blk.39.ffn_gate_inp_shexp.weight
730: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.39.ffn_gate_shexp.weight
731: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.39.ffn_up_exps.weight
732: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.39.ffn_up_shexp.weight
733: 3072 | 3072, 1, 1, 1 | F32 | blk.39.post_attention_norm.weight
734: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.40.attn_gate.weight
735: 3072 | 3072, 1, 1, 1 | F32 | blk.40.attn_norm.weight
736: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.40.attn_qkv.weight
737: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.40.ffn_down_exps.weight
738: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.40.ffn_down_shexp.weight
739: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.40.ffn_gate_exps.weight
740: 786432 | 3072, 256, 1, 1 | F32 | blk.40.ffn_gate_inp.weight
741: 3072 | 3072, 1, 1, 1 | F32 | blk.40.ffn_gate_inp_shexp.weight
742: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.40.ffn_gate_shexp.weight
743: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.40.ffn_up_exps.weight
744: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.40.ffn_up_shexp.weight
745: 3072 | 3072, 1, 1, 1 | F32 | blk.40.post_attention_norm.weight
746: 64 | 64, 1, 1, 1 | F32 | blk.40.ssm_a
747: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.40.ssm_alpha.weight
748: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.40.ssm_beta.weight
749: 49152 | 4, 12288, 1, 1 | F32 | blk.40.ssm_conv1d.weight
750: 64 | 64, 1, 1, 1 | F32 | blk.40.ssm_dt.bias
751: 128 | 128, 1, 1, 1 | F32 | blk.40.ssm_norm.weight
752: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.40.ssm_out.weight
753: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.41.attn_gate.weight
754: 3072 | 3072, 1, 1, 1 | F32 | blk.41.attn_norm.weight
755: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.41.attn_qkv.weight
756: 805306368 | 1024, 3072, 256, 1 | Q6_K | blk.41.ffn_down_exps.weight
757: 3145728 | 1024, 3072, 1, 1 | Q8_0 | blk.41.ffn_down_shexp.weight
758: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.41.ffn_gate_exps.weight
759: 786432 | 3072, 256, 1, 1 | F32 | blk.41.ffn_gate_inp.weight
760: 3072 | 3072, 1, 1, 1 | F32 | blk.41.ffn_gate_inp_shexp.weight
761: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.41.ffn_gate_shexp.weight
762: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.41.ffn_up_exps.weight
763: 3145728 | 3072, 1024, 1, 1 | Q8_0 | blk.41.ffn_up_shexp.weight
764: 3072 | 3072, 1, 1, 1 | F32 | blk.41.post_attention_norm.weight
765: 64 | 64, 1, 1, 1 | F32 | blk.41.ssm_a
766: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.41.ssm_alpha.weight
767: 196608 | 3072, 64, 1, 1 | Q8_0 | blk.41.ssm_beta.weight
768: 49152 | 4, 12288, 1, 1 | F32 | blk.41.ssm_conv1d.weight
769: 64 | 64, 1, 1, 1 | F32 | blk.41.ssm_dt.bias
770: 128 | 128, 1, 1, 1 | F32 | blk.41.ssm_norm.weight
771: 25165824 | 8192, 3072, 1, 1 | Q8_0 | blk.41.ssm_out.weight
772: 25165824 | 3072, 8192, 1, 1 | Q8_0 | blk.42.attn_gate.weight
773: 3072 | 3072, 1, 1, 1 | F32 | blk.42.attn_norm.weight
774: 37748736 | 3072, 12288, 1, 1 | Q8_0 | blk.42.attn_qkv.weight
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
MQ516_special (Mixed Quant Q5_K - BF16, Special Purpose)
llama-quantize params and gguf-dump
--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
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267: 786432 | 3072, 256, 1, 1 | F32 | blk.14.ffn_gate_inp.weight
268: 3072 | 3072, 1, 1, 1 | F32 | blk.14.ffn_gate_inp_shexp.weight
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270: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.14.ffn_up_exps.weight
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277: 64 | 64, 1, 1, 1 | F32 | blk.14.ssm_dt.bias
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288: 3145728 | 1024, 3072, 1, 1 | BF16 | blk.15.ffn_down_shexp.weight
289: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.15.ffn_gate_exps.weight
290: 786432 | 3072, 256, 1, 1 | F32 | blk.15.ffn_gate_inp.weight
291: 3072 | 3072, 1, 1, 1 | F32 | blk.15.ffn_gate_inp_shexp.weight
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293: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.15.ffn_up_exps.weight
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303: 3072 | 3072, 1, 1, 1 | F32 | blk.16.ffn_gate_inp_shexp.weight
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305: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.16.ffn_up_exps.weight
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321: 786432 | 3072, 256, 1, 1 | F32 | blk.17.ffn_gate_inp.weight
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323: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.17.ffn_gate_shexp.weight
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331: 64 | 64, 1, 1, 1 | F32 | blk.17.ssm_dt.bias
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397: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.21.ffn_up_exps.weight
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413: 786432 | 3072, 256, 1, 1 | F32 | blk.22.ffn_gate_inp.weight
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415: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.22.ffn_gate_shexp.weight
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421: 196608 | 3072, 64, 1, 1 | BF16 | blk.22.ssm_beta.weight
422: 49152 | 4, 12288, 1, 1 | F32 | blk.22.ssm_conv1d.weight
423: 64 | 64, 1, 1, 1 | F32 | blk.22.ssm_dt.bias
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439: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.23.ffn_up_exps.weight
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467: 786432 | 3072, 256, 1, 1 | F32 | blk.25.ffn_gate_inp.weight
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470: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.25.ffn_up_exps.weight
471: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.25.ffn_up_shexp.weight
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486: 786432 | 3072, 256, 1, 1 | F32 | blk.26.ffn_gate_inp.weight
487: 3072 | 3072, 1, 1, 1 | F32 | blk.26.ffn_gate_inp_shexp.weight
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490: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.26.ffn_up_shexp.weight
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495: 49152 | 4, 12288, 1, 1 | F32 | blk.26.ssm_conv1d.weight
496: 64 | 64, 1, 1, 1 | F32 | blk.26.ssm_dt.bias
497: 128 | 128, 1, 1, 1 | F32 | blk.26.ssm_norm.weight
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500: 256 | 256, 1, 1, 1 | F32 | blk.27.attn_k_norm.weight
501: 3072 | 3072, 1, 1, 1 | F32 | blk.27.attn_norm.weight
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760: 3072 | 3072, 1, 1, 1 | F32 | blk.41.ffn_gate_inp_shexp.weight
761: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.41.ffn_gate_shexp.weight
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778: 786432 | 3072, 256, 1, 1 | F32 | blk.42.ffn_gate_inp.weight
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801: 786432 | 3072, 256, 1, 1 | F32 | blk.43.ffn_gate_inp.weight
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803: 3145728 | 3072, 1024, 1, 1 | BF16 | 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 | BF16 | blk.43.ffn_up_shexp.weight
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816: 805306368 | 3072, 1024, 256, 1 | Q6_K | blk.44.ffn_up_exps.weight
817: 3145728 | 3072, 1024, 1, 1 | BF16 | blk.44.ffn_up_shexp.weight
818: 3072 | 3072, 1, 1, 1 | F32 | blk.44.post_attention_norm.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
833: 3072 | 3072, 1, 1, 1 | F32 | blk.45.ffn_gate_inp_shexp.weight
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840: 196608 | 3072, 64, 1, 1 | BF16 | 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
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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
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
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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
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