Modelpublic

second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

1likes740downloads

Model Card

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">

Qwen2.5-Coder-0.5B-Instruct-GGUF

Original Model

Qwen/Qwen2.5-Coder-0.5B-Instruct

Run with LlamaEdge

—LlamaEdge version: v0.14.14 and above

—Prompt template

—Prompt type: chatml

—Prompt string

text

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant

—Context size: 32000

—Run as LlamaEdge service

bash

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Qwen2.5-Coder-0.5B-Instruct \
    --prompt-template chatml \
    --ctx-size 32000

—Run as LlamaEdge command app

bash

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Qwen2.5-Coder-0.5B-Instruct-Q2_K.gguf	Q2_K	2	339 MB	smallest, significant quality loss - not recommended for most purposes
Qwen2.5-Coder-0.5B-Instruct-Q3_K_L.gguf	Q3KL	3	369 MB	small, substantial quality loss
Qwen2.5-Coder-0.5B-Instruct-Q3_K_M.gguf	Q3KM	3	355 MB	very small, high quality loss
Qwen2.5-Coder-0.5B-Instruct-Q3_K_S.gguf	Q3KS	3	338 MB	very small, high quality loss
Qwen2.5-Coder-0.5B-Instruct-Q4_0.gguf	Q4_0	4	352 MB	legacy; small, very high quality loss - prefer using Q3KM
Qwen2.5-Coder-0.5B-Instruct-Q4_K_M.gguf	Q4KM	4	398 MB	medium, balanced quality - recommended
Qwen2.5-Coder-0.5B-Instruct-Q4_K_S.gguf	Q4KS	4	385 MB	small, greater quality loss
Qwen2.5-Coder-0.5B-Instruct-Q5_0.gguf	Q5_0	5	397 MB	legacy; medium, balanced quality - prefer using Q4KM
Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf	Q5KM	5	420 MB	large, very low quality loss - recommended
Qwen2.5-Coder-0.5B-Instruct-Q5_K_S.gguf	Q5KS	5	413 MB	large, low quality loss - recommended
Qwen2.5-Coder-0.5B-Instruct-Q6_K.gguf	Q6_K	6	506 MB	very large, extremely low quality loss
Qwen2.5-Coder-0.5B-Instruct-Q8_0.gguf	Q8_0	8	531 MB	very large, extremely low quality loss - not recommended
Qwen2.5-Coder-0.5B-Instruct-f16.gguf	f16	16	994 MB

Quantized with llama.cpp b4033