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YuLan-Mini-GGUF

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YuLan-Mini-GGUF
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---
license: mit
library_name: transformers
pipeline_tag: text-generation
datasets:
- yulan-team/YuLan-Mini-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
tags:
- code
- math
- TensorBlock
- GGUF
arxiv: 2412.17743
base_model: yulan-team/YuLan-Mini
model-index:
- name: YuLan-Mini
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.64
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 0.659
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: MATH-500
      type: math-500
    metrics:
    - type: maj@1
      value: 0.378
      name: maj@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: GSM8K
      type: gsm8k
    metrics:
    - type: maj@1
      value: 0.684
      name: maj@1
      verified: false
---

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## yulan-team/YuLan-Mini - GGUF

This repo contains GGUF format model files for [yulan-team/YuLan-Mini](https://huggingface.co/yulan-team/YuLan-Mini).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4823](https://github.com/ggml-org/llama.cpp/commit/5bbe6a9fe9a8796a9389c85accec89dbc4d91e39).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
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  </tr>
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    <th colspan="2">
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        display: inline-block;
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      ">🚀 Try it now! 🚀</a>
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    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
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    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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      <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
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        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
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      <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
  </tr>
</table>
## Prompt template

```

<s>

    <|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|>

    <|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|>

    <|start_header_id|>assistant<|end_header_id|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [YuLan-Mini-Q2_K.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q2_K.gguf) | Q2_K | 1.468 GB | smallest, significant quality loss - not recommended for most purposes |
| [YuLan-Mini-Q3_K_S.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q3_K_S.gguf) | Q3_K_S | 1.463 GB | very small, high quality loss |
| [YuLan-Mini-Q3_K_M.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q3_K_M.gguf) | Q3_K_M | 1.560 GB | very small, high quality loss |
| [YuLan-Mini-Q3_K_L.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q3_K_L.gguf) | Q3_K_L | 1.606 GB | small, substantial quality loss |
| [YuLan-Mini-Q4_0.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q4_0.gguf) | Q4_0 | 1.463 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [YuLan-Mini-Q4_K_S.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q4_K_S.gguf) | Q4_K_S | 1.746 GB | small, greater quality loss |
| [YuLan-Mini-Q4_K_M.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q4_K_M.gguf) | Q4_K_M | 1.846 GB | medium, balanced quality - recommended |
| [YuLan-Mini-Q5_0.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q5_0.gguf) | Q5_0 | 1.742 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [YuLan-Mini-Q5_K_S.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q5_K_S.gguf) | Q5_K_S | 1.882 GB | large, low quality loss - recommended |
| [YuLan-Mini-Q5_K_M.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q5_K_M.gguf) | Q5_K_M | 1.969 GB | large, very low quality loss - recommended |
| [YuLan-Mini-Q6_K.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q6_K.gguf) | Q6_K | 2.580 GB | very large, extremely low quality loss |
| [YuLan-Mini-Q8_0.gguf](https://huggingface.co/tensorblock/YuLan-Mini-GGUF/blob/main/YuLan-Mini-Q8_0.gguf) | Q8_0 | 2.580 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/YuLan-Mini-GGUF --include "YuLan-Mini-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/YuLan-Mini-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```