metadata

base_model: Qwen/Qwen2.5-1.5B-Instruct
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
model_creator: Qwen
model_name: Qwen2.5-1.5B-Instruct
quantized_by: Second State Inc.
language:
  - en
pipeline_tag: text-generation
tags:
  - chat

Qwen2.5-1.5B-Instruct-GGUF

Original Model

Qwen/Qwen2.5-1.5B-Instruct

Run with LlamaEdge

LlamaEdge version: v0.14.3 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: 32000

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-1.5B-Instruct-Q5_K_M.gguf \
  llama-api-server.wasm \
  --model-name Qwen2.5-1.5B-Instruct \
  --prompt-template chatml \
  --ctx-size 32000

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-1.5B-Instruct-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template chatml \
  --ctx-size 32000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Qwen2.5-1.5B-Instruct-Q2_K.gguf	Q2_K	2	676 MB	smallest, significant quality loss - not recommended for most purposes
Qwen2.5-1.5B-Instruct-Q3_K_L.gguf	Q3_K_L	3	880 MB	small, substantial quality loss
Qwen2.5-1.5B-Instruct-Q3_K_M.gguf	Q3_K_M	3	824 MB	very small, high quality loss
Qwen2.5-1.5B-Instruct-Q3_K_S.gguf	Q3_K_S	3	761 MB	very small, high quality loss
Qwen2.5-1.5B-Instruct-Q4_0.gguf	Q4_0	4	935 MB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-1.5B-Instruct-Q4_K_M.gguf	Q4_K_M	4	986 MB	medium, balanced quality - recommended
Qwen2.5-1.5B-Instruct-Q4_K_S.gguf	Q4_K_S	4	940 MB	small, greater quality loss
Qwen2.5-1.5B-Instruct-Q5_0.gguf	Q5_0	5	1.1 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-1.5B-Instruct-Q5_K_M.gguf	Q5_K_M	5	1.13 GB	large, very low quality loss - recommended
Qwen2.5-1.5B-Instruct-Q5_K_S.gguf	Q5_K_S	5	1.1 GB	large, low quality loss - recommended
Qwen2.5-1.5B-Instruct-Q6_K.gguf	Q6_K	6	1.27 GB	very large, extremely low quality loss
Qwen2.5-1.5B-Instruct-Q8_0.gguf	Q8_0	8	1.65 GB	very large, extremely low quality loss - not recommended
Qwen2.5-1.5B-Instruct-f16.gguf	f16	16	3.09 GB

Quantized with llama.cpp b3751