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--- |
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license: mit |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- code |
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- deepseek |
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- gguf |
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- bf16 |
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- chinese |
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- english |
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metrics: |
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- accuracy |
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--- |
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# Deepseek-V2-Chat-GGUF |
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Quantizised from [https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat) |
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Using llama.cpp fork: [https://github.com/fairydreaming/llama.cpp/tree/deepseek-v2](https://github.com/fairydreaming/llama.cpp/tree/deepseek-v2) |
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# Warning: This will not work unless you compile llama.cpp from the repo provided (and set metadata KV overrides)! |
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# How to use: |
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- Find the relevant directory |
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- Download all files |
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- Run merge.py |
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- Merged GGUF should appear |
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# Quants: |
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``` |
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- bf16 [size: 439gb] |
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- q8_0 (after q2_k) [estimated size: 233.27gb] |
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- q4_k_m [size: 132gb] |
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- q2_k (uploading) [size: 80gb] |
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- q3_k_s (generating, using importance matrix) [estimated size: 96.05gb] |
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``` |
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# Planned Quants (using importance matrix): |
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``` |
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- q5_k_m |
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- q5_k_s |
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- q3_k_m |
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- q6_k |
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- iq4_nl |
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- iq4_xs |
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- iq2_xxs |
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- iq2_xs |
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- iq2_s |
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- iq2_m |
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- iq1_s |
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- iq1_m |
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``` |
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Note: the model files do not have some DeepSeek v2 specific parameters, will look into adding them |
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Please use commit `039896407afd40e54321d47c5063c46a52da3e01`, otherwise use these metadata KV overrides: |
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``` |
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deepseek2.attention.q_lora_rank=int:1536 |
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deepseek2.attention.kv_lora_rank=int:512 |
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deepseek2.expert_shared_count=int:2 |
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deepseek2.expert_feed_forward_length=int:1536 |
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deepseek2.leading_dense_block_count=int:1 |
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``` |
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A precompiled AVX2 version is avaliable at `llama.cpp-039896407afd40e54321d47c5063c46a52da3e01.zip` in the root of this repo. |
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# License: |
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- DeepSeek license for model weights |
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- MIT license for any repo code |
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# Performance: |
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~1.5t/s with Ryzen 3 3700x (96gb 3200mhz) [Q2_K] |
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# iMatrix: |
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Find imatrix.dat in the root of this repo, made with a Q2_K quant (see here for info: [https://github.com/ggerganov/llama.cpp/issues/5153#issuecomment-1913185693](https://github.com/ggerganov/llama.cpp/issues/5153#issuecomment-1913185693)) |
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Using groups_merged.txt, find it here: [https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) |
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# Censorship: |
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This model is quite censored, finetuning on toxic DPO might help. |
