---
language:
- en
- vi
license: mit
library_name: transformers
tags:
- ghost
- TensorBlock
- GGUF
pipeline_tag: text-generation
base_model: ghost-x/ghost-7b-v0.9.0
widget:
- text: '<|system|>

    You are a helpful assistant.</s>

    <|user|>

    Thông tin về Peristernia despecta</s>

    <|assistant|>

    '
  output:
    text: Peristernia despecta là một loài ốc biển, là động vật thân mềm chân bụng
      sống ở biển trong họ Fasciolariidae.
model-index:
- name: lamhieu/ghost-7b-v0.9.0
  results:
  - task:
      type: text-generation
    dataset:
      name: VMLU
      type: vmlu_v1.5
    metrics:
    - type: avg
      value: 36.06
      name: Average
      verified: true
    - type: stem
      value: 33.54
      name: STEM
      verified: true
    - type: ss
      value: 38.74
      name: Social science
      verified: true
    - type: hm
      value: 37.15
      name: Humanities
      verified: true
    - type: ot
      value: 36.78
      name: Other
      verified: true
  - task:
      type: text-generation
    dataset:
      name: Open LLM Leaderboard
      type: open_llm_leaderboard
    metrics:
    - type: avg
      value: 56.89
      name: Average
      verified: true
    - type: arc
      value: 53.07
      name: ARC
      verified: true
    - type: hs
      value: 77.93
      name: HellaSwag
      verified: true
    - type: hs
      value: 77.93
      name: HellaSwag
      verified: true
    - type: mmlu
      value: 55.09
      name: MMLU
      verified: true
    - type: wg
      value: 73.72
      name: Winogrande
      verified: true
    - type: gsm8k
      value: 33.74
      name: GSM8K
      verified: true
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 53.07
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 77.93
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 55.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 47.79
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 73.72
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 33.74
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.0
      name: Open LLM Leaderboard
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>

[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
[![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock)
[![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock)


## ghost-x/ghost-7b-v0.9.0 - GGUF

This repo contains GGUF format model files for [ghost-x/ghost-7b-v0.9.0](https://huggingface.co/ghost-x/ghost-7b-v0.9.0).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
  <tr>
    <th colspan="2">
      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
    </th>
  </tr>
  <tr>
    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
  </tr>
  <tr>
    <th colspan="2">
      <a href="https://github.com/TensorBlock/forge" 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;
      ">🚀 Try it now! 🚀</a>
    </th>
  </tr>

  <tr>
    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
  </tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
  <tr>
    <th>
      <a href="https://github.com/TensorBlock/awesome-mcp-servers" 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>
    <th>
      <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

```
<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [ghost-7b-v0.9.0-Q2_K.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
| [ghost-7b-v0.9.0-Q3_K_S.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
| [ghost-7b-v0.9.0-Q3_K_M.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
| [ghost-7b-v0.9.0-Q3_K_L.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
| [ghost-7b-v0.9.0-Q4_0.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [ghost-7b-v0.9.0-Q4_K_S.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
| [ghost-7b-v0.9.0-Q4_K_M.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
| [ghost-7b-v0.9.0-Q5_0.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [ghost-7b-v0.9.0-Q5_K_S.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
| [ghost-7b-v0.9.0-Q5_K_M.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
| [ghost-7b-v0.9.0-Q6_K.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
| [ghost-7b-v0.9.0-Q8_0.gguf](https://huggingface.co/tensorblock/ghost-7b-v0.9.0-GGUF/blob/main/ghost-7b-v0.9.0-Q8_0.gguf) | Q8_0 | 7.167 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/ghost-7b-v0.9.0-GGUF --include "ghost-7b-v0.9.0-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/ghost-7b-v0.9.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```