commit e1cd2b232e346de4dd1748cd66b3d98339581009
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Thu Jun 4 06:31:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: second-state/Yi-Coder-1.5B-Chat-GGUF
    Source: Original Platform

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+Yi-Coder-1.5B-Chat-f16.gguf filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
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+---
+base_model: 01-ai/Yi-Coder-1.5B-Chat
+inference: false
+model_creator: 01-ai
+model_name: Yi-Coder-1.5B-Chat
+model_type: yi
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+license: apache-2.0
+---
+
+<!-- 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 -->
+
+# Yi-Coder-1.5B-Chat-GGUF
+
+## Original Model
+
+[01-ai/Yi-Coder-1.5B-Chat](https://huggingface.co/01-ai/Yi-Coder-1.5B-Chat)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.14.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.2) 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
+    ```
+
+  - Reverse prompt: `<|im_end|>`
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-1.5B-Chat-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template chatml \
+    --reverse-prompt "<|im_end|>" \
+    --ctx-size 128000 \
+    --model-name Yi-Coder-1.5B-Chat
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-1.5B-Chat-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template chatml \
+    --reverse-prompt "<|im_end|>" \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Yi-Coder-1.5B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q2_K.gguf)     | Q2_K   | 2 | 635 MB| smallest, significant quality loss - not recommended for most purposes |
+| [Yi-Coder-1.5B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 826 MB| small, substantial quality loss |
+| [Yi-Coder-1.5B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 768 MB| very small, high quality loss |
+| [Yi-Coder-1.5B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 723 MB| very small, high quality loss |
+| [Yi-Coder-1.5B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q4_0.gguf)     | Q4_0   | 4 | 866 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Yi-Coder-1.5B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 964 MB| medium, balanced quality - recommended |
+| [Yi-Coder-1.5B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 904 MB| small, greater quality loss |
+| [Yi-Coder-1.5B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q5_0.gguf)     | Q5_0   | 5 | 1.03 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Yi-Coder-1.5B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 1.10 GB| large, very low quality loss - recommended |
+| [Yi-Coder-1.5B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 1.05 GB| large, low quality loss - recommended |
+| [Yi-Coder-1.5B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q6_K.gguf)     | Q6_K   | 6 | 1.28 GB| very large, extremely low quality loss |
+| [Yi-Coder-1.5B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 1.57 GB| very large, extremely low quality loss - not recommended |
+| [Yi-Coder-1.5B-Chat-f16.gguf](https://huggingface.co/second-state/Yi-Coder-1.5B-Chat-GGUF/blob/main/Yi-Coder-1.5B-Chat-f16.gguf)       | f16   | 16 | 2.95 GB| |
+
+*Quantized with llama.cpp b3664*
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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
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+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 16,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": false,
+  "vocab_size": 64000
+}
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