Instructions to use FuseAI/FuseChat-Llama-3.1-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FuseAI/FuseChat-Llama-3.1-8B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="FuseAI/FuseChat-Llama-3.1-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FuseAI/FuseChat-Llama-3.1-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("FuseAI/FuseChat-Llama-3.1-8B-Instruct")
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

vLLM

How to use FuseAI/FuseChat-Llama-3.1-8B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FuseAI/FuseChat-Llama-3.1-8B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct

SGLang

How to use FuseAI/FuseChat-Llama-3.1-8B-Instruct 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 "FuseAI/FuseChat-Llama-3.1-8B-Instruct" \
    --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": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
		"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 "FuseAI/FuseChat-Llama-3.1-8B-Instruct" \
        --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": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FuseAI/FuseChat-Llama-3.1-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct
```

Add missing metadata: library_name, pipeline_tag, license

by nielsr HF Staff - opened Mar 7, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+13

-15

Files changed (1) hide show

README.md +13 -15

README.md CHANGED Viewed

@@ -1,4 +1,6 @@
 ---
 model-index:
 - name: FuseChat-Llama-3.1-8B-Instruct
   results:
@@ -16,8 +18,7 @@ model-index:
       value: 72.05
       name: averaged accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -33,8 +34,7 @@ model-index:
       value: 30.85
       name: normalized accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -50,8 +50,7 @@ model-index:
       value: 7.02
       name: exact match
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -67,8 +66,7 @@ model-index:
       value: 7.38
       name: acc_norm
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -83,8 +81,7 @@ model-index:
       value: 6.15
       name: acc_norm
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -101,12 +98,13 @@ model-index:
       value: 30.37
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
-datasets:
-- FuseAI/FuseChat-3.0-DPO-Data
 ---
 <p align="center" width="100%">
 </p>
@@ -116,7 +114,7 @@ FuseChat-3.0: Preference Optimization for Implicit Model Fusion
 -----------------------------
 <h4> |<a href="https://arxiv.org/abs/2412.03187"> 📑 WRPO Paper </a> |
-  <a href="https://arxiv.org/pdf/2503.04222"> 📑 FuseChat-3.0 Tech Report </a> |
 <a href="https://github.com/SLIT-AI/FuseChat-3.0"> 🐱 GitHub Repo </a> |
 <a href="https://huggingface.co/FuseAI"> 🤗 Hugging Face </a> |
 <a href="https://slit-ai.github.io/FuseChat-3.0/"> 🌐 Website </a> |

 ---
+datasets:
+- FuseAI/FuseChat-3.0-DPO-Data
 model-index:
 - name: FuseChat-Llama-3.1-8B-Instruct
   results:
       value: 72.05
       name: averaged accuracy
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 30.85
       name: normalized accuracy
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 7.02
       name: exact match
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 7.38
       name: acc_norm
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 6.15
       name: acc_norm
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 30.37
       name: accuracy
     source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=FuseAI%2FFuseChat-Llama-3.1-8B-Instruct
       name: Open LLM Leaderboard
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
 ---
 <p align="center" width="100%">
 </p>
 -----------------------------
 <h4> |<a href="https://arxiv.org/abs/2412.03187"> 📑 WRPO Paper </a> |
+  <a href="https://arxiv.org/pdf/2503.04222"> 📑 FuseChat-3.0 Paper </a> |
 <a href="https://github.com/SLIT-AI/FuseChat-3.0"> 🐱 GitHub Repo </a> |
 <a href="https://huggingface.co/FuseAI"> 🤗 Hugging Face </a> |
 <a href="https://slit-ai.github.io/FuseChat-3.0/"> 🌐 Website </a> |