Instructions to use HuggingFaceH4/zephyr-7b-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceH4/zephyr-7b-beta with Transformers:

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

pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta", device_map="auto")
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 HuggingFaceH4/zephyr-7b-beta with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceH4/zephyr-7b-beta"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceH4/zephyr-7b-beta",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HuggingFaceH4/zephyr-7b-beta

SGLang

How to use HuggingFaceH4/zephyr-7b-beta 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 "HuggingFaceH4/zephyr-7b-beta" \
    --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": "HuggingFaceH4/zephyr-7b-beta",
		"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 "HuggingFaceH4/zephyr-7b-beta" \
        --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": "HuggingFaceH4/zephyr-7b-beta",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use HuggingFaceH4/zephyr-7b-beta with Docker Model Runner:
```
docker model run hf.co/HuggingFaceH4/zephyr-7b-beta
```

clefourrier HF Staff commited on Dec 14, 2023

Commit

dc24cab

1 Parent(s): f4e901c

Update README.md

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Files changed (1) hide show

README.md +7 -7

README.md CHANGED Viewed

@@ -30,7 +30,7 @@ model-index:
     metrics:
        - type: acc_norm
          name: normalized accuracy
-         value: 0.6203071672354948
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -48,7 +48,7 @@ model-index:
     metrics:
        - type: acc_norm
          name: normalized accuracy
-         value: 0.8435570603465445
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -66,7 +66,7 @@ model-index:
     metrics:
        - type: f1
          name: f1 score
-         value: 0.09662437080536909
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -84,7 +84,7 @@ model-index:
         num_few_shot: 0
     metrics:
        - type: mc2
-         value: 0.5744916942762855
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -103,7 +103,7 @@ model-index:
     metrics:
        - type: acc
          name: accuracy
-         value: 0.12736921910538287
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -122,7 +122,7 @@ model-index:
     metrics:
        - type: acc
          name: accuracy
-         value: 0.6107
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
@@ -141,7 +141,7 @@ model-index:
     metrics:
        - type: acc
          name: accuracy
-         value: 0.7774269928966061
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta

     metrics:
        - type: acc_norm
          name: normalized accuracy
+         value: 62.03071672354948
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
     metrics:
        - type: acc_norm
          name: normalized accuracy
+         value: 84.35570603465445
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
     metrics:
        - type: f1
          name: f1 score
+         value: 9.662437080536909
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
         num_few_shot: 0
     metrics:
        - type: mc2
+         value: 57.44916942762855
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
     metrics:
        - type: acc
          name: accuracy
+         value: 12.736921910538287
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
     metrics:
        - type: acc
          name: accuracy
+         value: 61.07
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
     metrics:
        - type: acc
          name: accuracy
+         value: 77.74269928966061
     source:
       name: Open LLM Leaderboard
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta