base_model, inference, library_name, license, license_name, model_creator, model_name, model_type, pipeline_tag, quantized_by, language, tags

base_model	inference	library_name	license	license_name	model_creator	model_name	model_type	pipeline_tag	quantized_by	language	tags
Qwen/CodeQwen1.5-7B-Chat	false	transformers	other	tongyi-qianwen	Qwen	Openchat 3.5 0106	mistral	text-generation	Second State Inc.	en	chat

---

CodeQwen1.5-7B-Chat-GGUF

Original Model

Qwen/CodeQwen1.5-7B-Chat

Run with LlamaEdge

• LlamaEdge version: v0.9.1 and above

• Prompt template

  • Prompt type: chatml

  • Prompt string

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

• Context size: 64000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeQwen1.5-7B-Chat-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml
    --context-size 64000
    --model-name CodeQwen1.5-7B-Chat
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeQwen1.5-7B-Chat-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 64000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
CodeQwen1.5-7B-Chat-Q2_K.gguf	Q2_K	2	3.05 GB	smallest, significant quality loss - not recommended for most purposes
CodeQwen1.5-7B-Chat-Q3_K_L.gguf	Q3_K_L	3	3.99 GB	small, substantial quality loss
CodeQwen1.5-7B-Chat-Q3_K_M.gguf	Q3_K_M	3	3.81 GB	very small, high quality loss
CodeQwen1.5-7B-Chat-Q3_K_S.gguf	Q3_K_S	3	3.5 GB	very small, high quality loss
CodeQwen1.5-7B-Chat-Q4_0.gguf	Q4_0	4	4.18 GB	legacy; small, very high quality loss - prefer using Q3_K_M
CodeQwen1.5-7B-Chat-Q4_K_M.gguf	Q4_K_M	4	4.74 GB	medium, balanced quality - recommended
CodeQwen1.5-7B-Chat-Q4_K_S.gguf	Q4_K_S	4	4.41 GB	small, greater quality loss
CodeQwen1.5-7B-Chat-Q5_0.gguf	Q5_0	5	5.04 GB	legacy; medium, balanced quality - prefer using Q4_K_M
CodeQwen1.5-7B-Chat-Q5_K_M.gguf	Q5_K_M	5	5.43 GB	large, very low quality loss - recommended
CodeQwen1.5-7B-Chat-Q5_K_S.gguf	Q5_K_S	5	5.15 GB	large, low quality loss - recommended
CodeQwen1.5-7B-Chat-Q6_K.gguf	Q6_K	6	6.38 GB	very large, extremely low quality loss
CodeQwen1.5-7B-Chat-Q8_0.gguf	Q8_0	8	7.71 GB	very large, extremely low quality loss - not recommended
CodeQwen1.5-7B-Chat-f16.gguf	f16	16	14.5 GB

Quantized with llama.cpp b2781