commit 515a342747b8bd47cc7fd649a17dc60c1a6f553f
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Thu Apr 30 18:22:14 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF
    Source: Original Platform

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+qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
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+---
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE
+language:
+- en
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- code
+- codeqwen
+- chat
+- qwen
+- qwen-coder
+- llama-cpp
+- gguf-my-repo
+---
+
+# agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF
+This model was converted to GGUF format from [`Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4`](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF --hf-file qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF --hf-file qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF --hf-file qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo agasfsfsdfadfa/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4-Q8_0-GGUF --hf-file qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf -c 2048
+```
diff --git a/qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf b/qwen2.5-coder-7b-instruct-gptq-int4-q8_0.gguf
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+version https://git-lfs.github.com/spec/v1
+oid sha256:c56a0dcbe9c4d7dcf2e69934d7cdba0af82c309b0202db32e2fc892cd524768a
+size 8098525824