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README.md

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+---
+license: mit
+datasets:
+- HuggingFaceFW/fineweb-edu
+- bigcode/the-stack-v2
+- mlfoundations/dclm-baseline-1.0
+- math-ai/AutoMathText
+- gair-prox/open-web-math-pro
+- RUC-AIBOX/long_form_thought_data_5k
+- internlm/Lean-Workbook
+- internlm/Lean-Github
+- deepseek-ai/DeepSeek-Prover-V1
+- ScalableMath/Lean-STaR-base
+- ScalableMath/Lean-STaR-plus
+- ScalableMath/Lean-CoT-base
+- ScalableMath/Lean-CoT-plus
+- opencsg/chinese-fineweb-edu
+- liwu/MNBVC
+- vikp/textbook_quality_programming
+- HuggingFaceTB/smollm-corpus
+- OpenCoder-LLM/opc-annealing-corpus
+- OpenCoder-LLM/opc-sft-stage1
+- OpenCoder-LLM/opc-sft-stage2
+- XinyaoHu/AMPS_mathematica
+- deepmind/math_dataset
+- mrfakename/basic-math-10m
+- microsoft/orca-math-word-problems-200k
+- AI-MO/NuminaMath-CoT
+- HuggingFaceTB/cosmopedia
+- MU-NLPC/Calc-ape210k
+- manu/project_gutenberg
+- storytracer/LoC-PD-Books
+- allenai/dolma
+language:
+- en
+- zh
+base_model: yulan-team/YuLan-Mini
+tags:
+- llama-cpp
+- gguf-my-repo
+---
+
+# NikolayKozloff/YuLan-Mini-Q8_0-GGUF
+This model was converted to GGUF format from [`yulan-team/YuLan-Mini`](https://huggingface.co/yulan-team/YuLan-Mini) 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/yulan-team/YuLan-Mini) 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 NikolayKozloff/YuLan-Mini-Q8_0-GGUF --hf-file yulan-mini-q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo NikolayKozloff/YuLan-Mini-Q8_0-GGUF --hf-file yulan-mini-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 NikolayKozloff/YuLan-Mini-Q8_0-GGUF --hf-file yulan-mini-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo NikolayKozloff/YuLan-Mini-Q8_0-GGUF --hf-file yulan-mini-q8_0.gguf -c 2048
+```