metadata

license: mit
library_name: transformers
pipeline_tag: text-generation
tags:
  - code
  - deepseek
  - gguf
  - bf16
  - chinese
  - english
metrics:
  - accuracy

Deepseek-V2-Chat-GGUF

Quantizised from https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat

Using llama.cpp fork: https://github.com/fairydreaming/llama.cpp/tree/deepseek-v2

Warning: This will not work unless you compile llama.cpp from the repo provided!

How to use:

Find the relevant directory
Download all files
Run merge.py
Merged GGUF should appear

Quants:

bf16 [size: 439gb]
q8_0 (after q2_k) [estimated size: 233.27gb]
q4_k_m [size: 132gb]
q2_k (uploading) [size: 80gb]
q3_k_s (generating) [estimated size: 96.05gb]

Note: the model files do not have some DeepSeek v2 specific parameters, will look into adding them

Please use commit 039896407afd40e54321d47c5063c46a52da3e01, otherwise use these metadata KV overrides:

deepseek2.attention.q_lora_rank=int:1536
deepseek2.attention.kv_lora_rank=int:512
deepseek2.expert_shared_count=int:2
deepseek2.expert_feed_forward_length=int:1536
deepseek2.leading_dense_block_count=int:1