metadata
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
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.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
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 | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
| 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 | Q3_K_M | 3.277 GB | very small, high quality loss |
| 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 | 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 | Q4_K_S | 3.856 GB | small, greater quality loss |
| 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 | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| 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 | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
| 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 | Q8_0 | 7.167 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
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:
huggingface-cli download tensorblock/ghost-7b-v0.9.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'