[whatmodel.sh](../../README.md) / Ghost 7B Alpha
# Ghost 7B Alpha
Ghost X · released 2024-04 · 7.24B params · other (ghost-7b)
**score 33.4** ±2.0 · #641 of 732 · from 5 benchmark results across 2 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Ghost 7B Alpha among every model on that task or test, worst to best.
task vs the others rank counts tests
chat & writing ▁▁▁●▆▄▆█▆▇▇▃ #387 of 402* 61% 2
chat & writing · #387 of 402 · 61% of its score
Beats [Phi-2 (2.7B)](phi-2.md), [Nous-Hermes-13b](nous-hermes-13b.md), [Qwen1.5 4B Chat](qwen1-5-4b-chat.md) here, though they rank higher overall. Trails [Gemma 3 270M IT](gemma-3-270m.md), [SmolLM2 360M Instruct](smollm2-360m.md), [Granite 4.0 350M](granite-4-0-350m.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
AlpacaEval 2 length-controlled 6.9% ▁▂●▃▆▆█▆▄▄▁▁ beats 13/122 medium · avg 35% 50% sharp · too hard for it
AlpacaEval 1.0 win rate (vs text-… 70.4% ▂▂·▆·●▃▆█▆▄▂ beats 15/45 very easy · avg 94% 11% sharp · at its level · noisy
other tests (3)
test result vs the others in its run difficulty counts why
MedQA (USMLE, 4 options) 40.3% ▁▁··▄▁▁··●▃█ beats 7/17 medium · avg 71% 24% sharp
MedMCQA 38.1% ▂▂··▄▄▂●·▄██ beats 7/17 medium · avg 63% 12% typical
PubMedQA 69.2% ▂·▂▆·▄▂●▄▂█▂ beats 9/17 medium · avg 75% 2.0% blunt · at its level
source results share of the score
AlpacaEval 1.0 and 2.0 leaderboards 2 61% ▇▇▇▇▇▇▇
Open Medical-LLM Leaderboard results 3 38% ▇▇▇▇▇
prior: pull toward the middle 2% ▇
weighted average = 33.4
Licences: AlpacaEval 1.0 and 2.0 leaderboards ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)) · Open Medical-LLM Leaderboard results ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run Ghost 7B Alpha (Q4_K_M, needs ~4.4 GB, from [huggingface.co/ghost-x](https://huggingface.co/ghost-x/ghost-7b-alpha-gguf/tree/256e9551c98a87713ee5e8e799de2e25f24f31c7))
```sh
llama cli -hf ghost-x/ghost-7b-alpha-gguf:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf ghost-x/ghost-7b-alpha-gguf:Q4_K_M
```
Other versions: Q8_0 (~7.7 GB) `llama cli -hf ghost-x/ghost-7b-alpha-gguf:Q8_0`
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run Ghost 7B Alpha (Q4_K_M, needs ~4.4 GB, from [huggingface.co/ghost-x](https://huggingface.co/ghost-x/ghost-7b-alpha-gguf/tree/256e9551c98a87713ee5e8e799de2e25f24f31c7))
```sh
lms get https://huggingface.co/ghost-x/ghost-7b-alpha-gguf@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: Q8_0 (~7.7 GB) `lms get https://huggingface.co/ghost-x/ghost-7b-alpha-gguf@Q8_0 -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Ghost 7B Alpha (Q4_K_M, needs ~4.4 GB, from [huggingface.co/ghost-x](https://huggingface.co/ghost-x/ghost-7b-alpha-gguf/tree/256e9551c98a87713ee5e8e799de2e25f24f31c7))
```sh
ollama run hf.co/ghost-x/ghost-7b-alpha-gguf:Q4_K_M
```
Other versions: Q8_0 (~7.7 GB) `ollama run hf.co/ghost-x/ghost-7b-alpha-gguf:Q8_0`
### Other ways to run it
1. Run it as published (BF16, needs ~14.48 GB, from [huggingface.co/ghost-x](https://huggingface.co/ghost-x/ghost-7b-alpha/tree/413f7215bd115896036fb213f6a20049a685f9cb))
```sh
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='ghost-x/ghost-7b-alpha', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
```
Model repository and documentation: [huggingface.co/ghost-x](https://huggingface.co/ghost-x/ghost-7b-alpha)
[interactive version](https://whatmodel.sh/model/ghost-7b-alpha) · [JSON](https://whatmodel.sh/api?format=json&all=1)