Instructions to use ghost-x/ghost-8b-beta-1608 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ghost-x/ghost-8b-beta-1608 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ghost-x/ghost-8b-beta-1608")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ghost-x/ghost-8b-beta-1608")
model = AutoModelForCausalLM.from_pretrained("ghost-x/ghost-8b-beta-1608")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ghost-x/ghost-8b-beta-1608 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ghost-x/ghost-8b-beta-1608"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ghost-x/ghost-8b-beta-1608",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ghost-x/ghost-8b-beta-1608

SGLang

How to use ghost-x/ghost-8b-beta-1608 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "ghost-x/ghost-8b-beta-1608" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ghost-x/ghost-8b-beta-1608",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "ghost-x/ghost-8b-beta-1608" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ghost-x/ghost-8b-beta-1608",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use ghost-x/ghost-8b-beta-1608 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ghost-x/ghost-8b-beta-1608 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ghost-x/ghost-8b-beta-1608 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ghost-x/ghost-8b-beta-1608 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="ghost-x/ghost-8b-beta-1608",
    max_seq_length=2048,
)

Docker Model Runner
How to use ghost-x/ghost-8b-beta-1608 with Docker Model Runner:
```
docker model run hf.co/ghost-x/ghost-8b-beta-1608
```

Adding Evaluation Results

by leaderboard-pr-bot - opened Sep 18, 2024

base: refs/heads/main

←

from: refs/pr/4

Discussion Files changed

+134

-25

Files changed (1) hide show

README.md +134 -25

README.md CHANGED Viewed

@@ -1,35 +1,130 @@
 ---
-base_model: ghost-x/ghost-8b-beta
 language:
-  - vi
-  - ko
-  - es
-  - pt
-  - zh
-  - fr
-  - it
-  - de
-  - ja
-  - ru
-  - pl
-  - nl
-  - hi
-  - tr
-  - id
-  - en
 license: other
 license_name: ghost-open-llms
 license_link: https://ghost-x.org/ghost-open-llms-license
-tags:
-  - ghost
-  - tools
-  - chat
-  - transformers
-  - unsloth
-  - llama
 pipeline_tag: text-generation
 widget:
-  - text: Why is the sky blue ?
 ---
 <p><img src="https://ghost-x.org/docs/models/ghost-8b-beta/images/logo.jpeg" width="40%" align="center" /></p>
@@ -830,3 +925,17 @@ If you find our work helpful, feel free to give us a cite.
   year = {2024}
 }
 ```

 ---
 language:
+- vi
+- ko
+- es
+- pt
+- zh
+- fr
+- it
+- de
+- ja
+- ru
+- pl
+- nl
+- hi
+- tr
+- id
+- en
 license: other
+tags:
+- ghost
+- tools
+- chat
+- transformers
+- unsloth
+- llama
+base_model: ghost-x/ghost-8b-beta
 license_name: ghost-open-llms
 license_link: https://ghost-x.org/ghost-open-llms-license
 pipeline_tag: text-generation
 widget:
+- text: Why is the sky blue ?
+model-index:
+- name: ghost-8b-beta-1608
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 42.73
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 23.46
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 1.21
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.12
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.58
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 20.44
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ghost-x/ghost-8b-beta-1608
+      name: Open LLM Leaderboard
 ---
 <p><img src="https://ghost-x.org/docs/models/ghost-8b-beta/images/logo.jpeg" width="40%" align="center" /></p>
   year = {2024}
 }
 ```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ghost-x__ghost-8b-beta-1608)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |15.09|
+|IFEval (0-Shot)    |42.73|
+|BBH (3-Shot)       |23.46|
+|MATH Lvl 5 (4-Shot)| 1.21|
+|GPQA (0-shot)      | 1.12|
+|MuSR (0-shot)      | 1.58|
+|MMLU-PRO (5-shot)  |20.44|