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README.md

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 ---
-license: Apache License 2.0
+base_model: prithivMLmods/Horologium-QwenC-1.5B
-
+language:
-#model-type:
+- en
-##如 gpt、phi、llama、chatglm、baichuan 等
+library_name: transformers
-#- gpt
+license: apache-2.0
-
+pipeline_tag: text-generation
-#domain:
+tags:
-##如 nlp、cv、audio、multi-modal
+- text-generation-inference
-#- nlp
+- code
-
+- math
-#language:
+- RL
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
+- QwenC
-#- cn 
+- llama-cpp
-
+- gguf-my-repo
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+# prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF
+This model was converted to GGUF format from [`prithivMLmods/Horologium-QwenC-1.5B`](https://huggingface.co/prithivMLmods/Horologium-QwenC-1.5B) 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/prithivMLmods/Horologium-QwenC-1.5B) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
 ```bash
-#安装ModelScope
+brew install llama.cpp
-pip install modelscope
+
 ```
-```python
+Invoke the llama.cpp server or the CLI.
-#SDK模型下载
+
-from modelscope import snapshot_download
+### CLI:
-model_dir = snapshot_download('prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF')
+```bash
-```
+llama-cli --hf-repo prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF --hf-file horologium-qwenc-1.5b-q8_0.gguf -p "The meaning to life and the universe is"
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF.git
 ```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+### Server:
+```bash
+llama-server --hf-repo prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF --hf-file horologium-qwenc-1.5b-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 prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF --hf-file horologium-qwenc-1.5b-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo prithivMLmods/Horologium-QwenC-1.5B-Q8_0-GGUF --hf-file horologium-qwenc-1.5b-q8_0.gguf -c 2048
+```

configuration.json

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

horologium-qwenc-1.5b-q8_0.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a1e2717f0f21a0c34447e2ce6169c9dc05611731a5ce9292fad3df3e62da423
+size 135