vrr/kvcache-ai-ktransformers
2
0
Fork 0
mirror of https://github.com/kvcache-ai/ktransformers.git synced 2025-09-04 19:50:04 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Update fp8 doc; Update install.md broken link

Browse source
This commit is contained in:
Azure 2025-02-26 15:43:08 +00:00
parent bb6920ed72
commit c05ebb74b1
2 changed files with 12 additions and 10 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

20
doc/en/fp8_kernel.md
View file

@ -10,15 +10,17 @@ The DeepSeek-AI team provides FP8 safetensors for DeepSeek-R1/V3 models. We achi
So those who are persuing the best performance can use the FP8 linear kernel for DeepSeek-V3/R1.
## Key Features
✅ Hybrid Precision Architecture (FP8 + GGML)
✅ Hybrid Precision Architecture (FP8 + GGML)<br>
✅ Memory Optimization (~19GB VRAM usage)
## Quick Start
### Using Pre-Merged Weights
Pre-merged weights are available on Hugging Face:
[KVCache-ai/DeepSeek-V3-GGML-FP8-Hybrid](https://huggingface.co/KVCache-ai/DeepSeek-V3)
Pre-merged weights are available on Hugging Face:<br>
[KVCache-ai/DeepSeek-V3-GGML-FP8-Hybrid](https://huggingface.co/KVCache-ai/DeepSeek-V3)<br>
[KVCache-ai/DeepSeek-R1-GGML-FP8-Hybrid](https://huggingface.co/KVCache-ai/DeepSeek-R1)
> Please confirm the weights are fully uploaded before downloading. The large file size may extend Hugging Face upload time.
@ -32,12 +34,12 @@ pip install -U huggingface_hub
huggingface-cli download --resume-download KVCache-ai/DeepSeek-V3-GGML-FP8-Hybrid --local-dir <local_dir>
```
### Using merge scripts
If you got local DeepSeek-R1/V3 fp8 safetensors and q4km gguf weights, you can merge them using the following scripts.
If you got local DeepSeek-R1/V3 fp8 safetensors and gguf weights(eg.q4km), you can merge them using the following scripts.
```shell
python convert_model.py \
python merge_tensors/merge_safetensor_gguf.py \
--safetensor_path <fp8_safetensor_path> \
--gguf_path <q4km_gguf_folder_path> \
--gguf_path <gguf_folder_path> \
--output_path <merged_output_path>
```
@ -60,15 +62,15 @@ python ktransformers/local_chat.py \
## Notes
⚠️ Hardware Requirements
⚠️ Hardware Requirements<br>
* Recommended minimum 19GB available VRAM for FP8 kernel.
* Requires GPU with FP8 support (e.g., 4090)
⏳ First-Run Optimization
JIT compilation causes longer initial execution (subsequent runs retain optimized speed).
🔄 Temporary Interface
🔄 Temporary Interface<br>
Current weight loading implementation is provisional - will be refined in future versions
📁 Path Specification
📁 Path Specification<br>
Despite hybrid quantization, merged weights are stored as .safetensors - pass the containing folder path to `--gguf_path`

2
doc/en/install.md
View file

@ -121,7 +121,7 @@ We provide a simple command-line local chat Python script that you can run for t
mkdir DeepSeek-V2-Lite-Chat-GGUF
cd DeepSeek-V2-Lite-Chat-GGUF
wget https://huggingface.co/mzwing/DeepSeek-V2-Lite-Chat-GGUF/resolve/main/DeepSeek-V2-Lite-Chat.Q4_K_M.gguf -O DeepSeek-V2-Lite-Chat.Q4_K_M.gguf
wget https://huggingface.co/mradermacher/DeepSeek-V2-Lite-GGUF/resolve/main/DeepSeek-V2-Lite.Q4_K_M.gguf -O DeepSeek-V2-Lite-Chat.Q4_K_M.gguf
cd .. # Move to repo's root dir