second-state/Qwen1.5-4B-Chat-GGUF
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Model: second-state/Qwen1.5-4B-Chat-GGUF
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---
base_model: Qwen/Qwen1.5-4B-Chat
license: other
license_name: tongyi-qianwen-research
license_link: >-
https://huggingface.co/Qwen/Qwen1.5-4B-Chat/blob/main/LICENSE
model_creator: Qwen
model_name: Qwen1.5 4B Chat
quantized_by: Second State Inc.
language:
- en
pipeline_tag: text-generation
tags:
- chat
---
<!-- header start -->
<!-- 200823 -->
<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;">
<!-- header end -->
# Qwen1.5-4B-Chat-GGUF
## Original Model
[Qwen/Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat)
## Run with LlamaEdge
- LlamaEdge version: [v0.2.15](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.15) 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:Qwen1.5-4B-Chat-Q5_K_M.gguf llama-api-server.wasm -p chatml
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-4B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen1.5-4B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q2_K.gguf) | Q2_K | 2 | 1.62 GB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen1.5-4B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 2.17 GB| small, substantial quality loss |
| [Qwen1.5-4B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 2.03 GB| very small, high quality loss |
| [Qwen1.5-4B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 1.86 GB| very small, high quality loss |
| [Qwen1.5-4B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q4_0.gguf) | Q4_0 | 4 | 2.33 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen1.5-4B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 2.46 GB| medium, balanced quality - recommended |
| [Qwen1.5-4B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 2.34 GB| small, greater quality loss |
| [Qwen1.5-4B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q5_0.gguf) | Q5_0 | 5 | 2.78 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen1.5-4B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 2.84 GB| large, very low quality loss - recommended |
| [Qwen1.5-4B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 2.78 GB| large, low quality loss - recommended |
| [Qwen1.5-4B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q6_K.gguf) | Q6_K | 6 | 3.25 GB| very large, extremely low quality loss |
| [Qwen1.5-4B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Qwen1.5-4B-Chat-GGUF/blob/main/Qwen1.5-4B-Chat-Q8_0.gguf) | Q8_0 | 8 | 4.2 GB| very large, extremely low quality loss - not recommended |

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{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 2560,
"initializer_range": 0.02,
"intermediate_size": 6912,
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 20,
"num_hidden_layers": 40,
"num_key_value_heads": 20,
"rms_norm_eps": 1e-06,
"rope_theta": 5000000.0,
"sliding_window": 32768,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.37.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}