metadata

model_name: DeepSeek-R1-Distill-Llama-8B
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
model_creator: deepseek-ai
quantized_by: Second State Inc.
library_name: transformers

DeepSeek-R1-Distill-Llama-8B-GGUF

Original Model

deepseek-ai/DeepSeek-R1-Distill-Llama-8B

Run with LlamaEdge

LlamaEdge version: coming soon

Prompt template

Prompt type: deepseek-chat-25

Prompt string

<|begin_of_sentence|>{system_message}<|User|>{user_message_1}<|Assistant|>{assistant_message_1}<|end_of_sentence|><|User|>{user_message_2}<|Assistant|>

Context size: 128000

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-Distill-Llama-8B-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template deepseek-chat-25 \
  --ctx-size 128000 \
  --model-name DeepSeek-R1-Distill-Llama-8B

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-Distill-Llama-8B-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template deepseek-chat-25 \
  --ctx-size 128000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Meta-Llama-3.1-8B-Instruct-Q2_K.gguf	Q2_K	2	3.18 GB	smallest, significant quality loss - not recommended for most purposes
Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf	Q3_K_L	3	4.32 GB	small, substantial quality loss
Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf	Q3_K_M	3	4.02 GB	very small, high quality loss
Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf	Q3_K_S	3	3.66 GB	very small, high quality loss
Meta-Llama-3.1-8B-Instruct-Q4_0.gguf	Q4_0	4	4.66 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf	Q4_K_M	4	4.92 GB	medium, balanced quality - recommended
Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf	Q4_K_S	4	4.69 GB	small, greater quality loss
Meta-Llama-3.1-8B-Instruct-Q5_0.gguf	Q5_0	5	5.6 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf	Q5_K_M	5	5.73 GB	large, very low quality loss - recommended
Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf	Q5_K_S	5	5.6 GB	large, low quality loss - recommended
Meta-Llama-3.1-8B-Instruct-Q6_K.gguf	Q6_K	6	6.6 GB	very large, extremely low quality loss
Meta-Llama-3.1-8B-Instruct-Q8_0.gguf	Q8_0	8	8.54 GB	very large, extremely low quality loss - not recommended
Meta-Llama-3.1-8B-Instruct-f16.gguf	f16	16	16.1 GB

Quantized with llama.cpp b4519