Hugging Face's logo

nisten
/
deepseek-0628-gguf

GGUF
Inference Endpoints
conversational
Model card Files Community
1
deepseek-0628-gguf / README.md
nisten's picture
nisten
Update README.md
3fdc869 verified
preview code
|
raw
history blame
11.9 kB
metadata
base_model:
  - deepseek-ai/DeepSeek-V2-Chat-0628

๐Ÿš€ My custom quantizations of DeepSeek-V2-Chat-0628 optimized for CPU inference ๐Ÿ–ฅ๏ธ

Currently ranked #7 globally on LMSYS Arena Hard! ๐Ÿ†

๐Ÿš„ Just download this IQ4XM 132Gb version, it's the one I use myself in prod:

๐Ÿง On Linux sudo apt install -y aria2

๐ŸŽ On Mac brew install aria2

These links will download 9x faster, feel free to paste them all in or one at a time

aria2c -x 9 -o deepseek_0628_cpu_optimized_iq4xm-00001-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_optimized_iq4xm-00001-of-00004.gguf

aria2c -x 9 -o deepseek_0628_cpu_optimized_iq4xm-00002-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_optimized_iq4xm-00002-of-00004.gguf

aria2c -x 9 -o deepseek_0628_cpu_optimized_iq4xm-00003-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_optimized_iq4xm-00003-of-00004.gguf

aria2c -x 9 -o deepseek_0628_cpu_optimized_iq4xm-00004-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_optimized_iq4xm-00004-of-00004.gguf

//then to have a commandline conversation interface all you need is:

git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make -j
./llama-cli -m ~/r/deepseek_0628_cpu_optimized_iq4xm-00001-of-00004.gguf -t 62 --temp 0.4 -co -cnv -i -c 3000 -p "Adopt the persona of a full-stack developer at NASA JPL."

๐Ÿง  This IQ4XM version uses GGML TYPE IQ_4_XS 4bit in combination with q8_0 bit for blazing fast performance with minimal loss, leveraging int8 optimizations on most newer server CPUs.

๐Ÿ› ๏ธ While it required some custom code wizardry, it's fully compatible with standard llama.cpp from GitHub or just search for nisten in lmstudio.

๐Ÿ“ No need for file concatenation - just point llama-cli at the first file and watch the magic happen!

๐Ÿ’ป Ready to delve in baby? Here's your command-line spell for interactive mode (prompt.txt is optional, but recommended for maximum sorcery):

./llama-cli --temp 0.4 -m deepseek_0628_cpu_optimized_iq4xm-00001-of-00004.gguf -c 32000 -co -cnv -i -f prompt.txt

//PERPLEXITY BENCHMARKS, 
//./llama-perplexity -m ~/r/deepseek_0628_cpu-iq4xm-00001-of-00002.gguf --chunks 12 -f ~/wiki.test.raw
//the 4bit iq4xm gets best perplexity but it's likely just a rounding error

deepseek-0628-bf16-00001-of-00011.gguf
Model size: 440 Gib
perplexity: 735.50 seconds per pass - ETA 36.77 minutes
[1]2.4827,[2]3.3887,[3]2.9470,[4]3.4768,[5]3.9012,[6]4.5128,[7]4.7533,[8]4.9550,[9]5.2863,[10]5.6824,[11]5.7541,[12]5.8734,
Final estimate: PPL = 5.8734 +/- 0.26967

deepseek_0628_cpu-iq1m-00001-of-00002.gguf 
model size       = 73.27 GiB (2.67 BPW) 
perplexity: 96.54 seconds per pass - ETA 4.82 minutes
[1]3.4340,[2]4.5503,[3]4.0118,[4]4.5807,[5]4.9540,[6]5.7353,[7]5.9430,[8]6.1320,[9]6.5690,[10]6.9401,[11]7.0363,[12]7.1857,
Final estimate: PPL = 7.1857 +/- 0.33585

deepseek_0628_cpu_iq1_s-00001-of-00002.gguf 
model size       = 58.42 GiB (2.13 BPW)
perplexity: 94.39 seconds per pass - ETA 4.72 minutes
[1]3.3257,[2]4.7059,[3]4.3868,[4]4.8870,[5]5.3162,[6]6.0753,[7]6.2931,[8]6.5085,[9]6.8913,[10]7.3148,[11]7.4235,[12]7.6295,
Final estimate: PPL = 7.6295 +/- 0.36143

deepseek_0628_cpu_optimized_iq4xm-00001-of-00004.gguf
size: 132.1 GiB
perplexity: 59.49 seconds per pass - ETA 2.97 minutes
[1]2.4954,[2]3.3941,[3]2.9607,[4]3.4755,[5]3.8889,[6]4.5036,[7]4.7364,[8]4.9401,[9]5.2737,[10]5.6651,[11]5.7354,[12]5.8620,
Final estimate: PPL = 5.8620 +/- 0.26853

๐Ÿš„ More scripts for accelerated downloads:: 

# ๐Ÿ‹๏ธ For the nearly lossless Q8_0 version
aria2c -x 8 -o deepseek-0628-q8_0-00001-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00001-of-00006.gguf

aria2c -x 8 -o deepseek-0628-q8_0-00002-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00002-of-00006.gguf

aria2c -x 8 -o deepseek-0628-q8_0-00003-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00003-of-00006.gguf

aria2c -x 8 -o deepseek-0628-q8_0-00004-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00004-of-00006.gguf

aria2c -x 8 -o deepseek-0628-q8_0-00005-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00005-of-00006.gguf

aria2c -x 8 -o deepseek-0628-q8_0-00006-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q8_0-00006-of-00006.gguf

# ๐Ÿง  For the full-brain BF16 version
aria2c -x 8 -o deepseek-0628-bf16-00001-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00001-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00002-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00002-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00003-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00003-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00004-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00004-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00005-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00005-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00006-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00006-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00007-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00007-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00008-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00008-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00009-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00009-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00010-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00010-of-00011.gguf

aria2c -x 8 -o deepseek-0628-bf16-00011-of-00011.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-bf16-00011-of-00011.gguf

image/png

deepseek-0628-bf16 example response
deepseek-0628-bf16 (440GB): Example response from full bf16 model

๐Ÿš„ Even more accelerated download links for other quantizations:

๐Ÿงช Experimental versions - the q1s and q1m 1 bit ( avg 2.1 bpw and 2.6bpw are suprisingly coherent!)

# 2-bit IQ2_XXS version (80.6 GiB total)
aria2c -x 8 -o deepseek-0628-cpu-2bit-IQ2_XXS-00001-of-00002.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-2bit-IQ2_XXS-00001-of-00002.gguf

aria2c -x 8 -o deepseek-0628-cpu-2bit-IQ2_XXS-00002-of-00002.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-2bit-IQ2_XXS-00002-of-00002.gguf

# Q6K version (187.1 GiB total)
aria2c -x 8 -o deepseek-0628-cpu-q6k-00001-of-00005.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-q6k-00001-of-00005.gguf

aria2c -x 8 -o deepseek-0628-cpu-q6k-00002-of-00005.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-q6k-00002-of-00005.gguf

aria2c -x 8 -o deepseek-0628-cpu-q6k-00003-of-00005.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-q6k-00003-of-00005.gguf

aria2c -x 8 -o deepseek-0628-cpu-q6k-00004-of-00005.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-q6k-00004-of-00005.gguf

aria2c -x 8 -o deepseek-0628-cpu-q6k-00005-of-00005.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-cpu-q6k-00005-of-00005.gguf

# Q4_0_8_8 faster but dumber version (~169.3GB total)
aria2c -x 8 -o deepseek-0628-q4_0_8_8_faster_dumber-00001-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q4_0_8_8_faster_dumber-00001-of-00004.gguf

aria2c -x 8 -o deepseek-0628-q4_0_8_8_faster_dumber-00002-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q4_0_8_8_faster_dumber-00002-of-00004.gguf

aria2c -x 8 -o deepseek-0628-q4_0_8_8_faster_dumber-00003-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q4_0_8_8_faster_dumber-00003-of-00004.gguf

aria2c -x 8 -o deepseek-0628-q4_0_8_8_faster_dumber-00004-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek-0628-q4_0_8_8_faster_dumber-00004-of-00004.gguf

The following 1 bit mixed quant versions are strangely good:

deepseek_0628_cpu-iq1m example response
deepseek_0628_cpu-iq1m (73.27 GB): Mixed 1bit response response is strangely good
# IQ1M version (73.27 GB)
aria2c -x 8 -o deepseek_0628_cpu-iq1m-00001-of-00002.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu-iq1m-00001-of-00002.gguf

aria2c -x 8 -o deepseek_0628_cpu-iq1m-00002-of-00002.gguf \
  https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu-iq1m-00002-of-00002.gguf
deepseek_0628_cpu-iq1s example response
deepseek_0628_cpu-iq1s (58.42 GB): Even the smallest IQ1_S version (52.7GB total) is coherent with these custom quants
```bash # IQ1_S version (58.42 GB) aria2c -x 8 -o deepseek_0628_cpu_iq1_s-00001-of-00002.gguf \ https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_iq1_s-00001-of-00002.gguf

aria2c -x 8 -o deepseek_0628_cpu_iq1_s-00002-of-00002.gguf
https://huggingface.co/nisten/deepseek-0628-gguf/resolve/main/deepseek_0628_cpu_iq1_s-00002-of-00002.gguf

๐Ÿ“œ The use of DeepSeek-V2-Chat-0628 model is subject to the [DeepSeek Model License](https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL). DeepSeek-V2 series supports commercial use. It's a permissive license that only restricts use for military purposes, harming minors, or patent trolling.

### ๐ŸŒŸ Model Information

DeepSeek-V2-Chat-0628 is the latest and greatest in the DeepSeek family. This AI powerhouse has climbed the LMSYS Chatbot Arena Leaderboard faster than a rocket on steroids:

- ๐Ÿ† Overall Arena Ranking: #11 global
- ๐Ÿ’ป Coding Arena Ranking: #3, global
- ๐Ÿง  Hard Prompts Arena Ranking: #7 global, better than claude opus even in english only hard-prompts
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6379683a81c1783a4a2ddba8/rbdug3j6BaeTSmKLDIp39.png)
Want to seek deeper into this model's ocean of awesomeness? Swim over to the [original model card](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat-0628) and prepare to have your mind blown! ๐Ÿคฏ

Now go forth and accelerate ๐Ÿš€๐Ÿ’ก

-Nisten