--- 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. <|user|> Thông tin về Peristernia despecta <|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 ---
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

## 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).
Run them on the TensorBlock client using your local machine ↗
## Prompt template ``` <|system|> {system_prompt} <|user|> {prompt} <|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' ```