Instructions to use Tsunami-th/Tsunami-0.5-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Tsunami-th/Tsunami-0.5-7B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="Tsunami-th/Tsunami-0.5-7B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Tsunami-th/Tsunami-0.5-7B-Instruct")
model = AutoModelForCausalLM.from_pretrained("Tsunami-th/Tsunami-0.5-7B-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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Tsunami-th/Tsunami-0.5-7B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Tsunami-th/Tsunami-0.5-7B-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": "Tsunami-th/Tsunami-0.5-7B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Tsunami-th/Tsunami-0.5-7B-Instruct

SGLang

How to use Tsunami-th/Tsunami-0.5-7B-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 "Tsunami-th/Tsunami-0.5-7B-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": "Tsunami-th/Tsunami-0.5-7B-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 "Tsunami-th/Tsunami-0.5-7B-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": "Tsunami-th/Tsunami-0.5-7B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Tsunami-th/Tsunami-0.5-7B-Instruct with Docker Model Runner:
```
docker model run hf.co/Tsunami-th/Tsunami-0.5-7B-Instruct
```

gamepollakrit commited on Oct 15, 2024

Commit

b9c8123

verified ·

1 Parent(s): 4a855c0

Update README.md

Browse files

Files changed (1) hide show

README.md +15 -9

README.md CHANGED Viewed

@@ -20,10 +20,11 @@ model-index:
         num_few_shot: 0
     metrics:
     - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 74.0
       name: strict accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -38,7 +39,8 @@ model-index:
       value: 36.14
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -53,7 +55,8 @@ model-index:
       value: 0.15
       name: exact match
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -68,7 +71,8 @@ model-index:
       value: 7.83
       name: acc_norm
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -83,7 +87,8 @@ model-index:
       value: 12.21
       name: acc_norm
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -100,8 +105,10 @@ model-index:
       value: 37.92
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
 ---
 <img src="./Tsunami.webp" alt="Tsunami Model" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -186,5 +193,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 |MATH Lvl 5 (4-Shot)| 0.15|
 |GPQA (0-shot)      | 7.83|
 |MuSR (0-shot)      |12.21|
-|MMLU-PRO (5-shot)  |37.92|

         num_few_shot: 0
     metrics:
     - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 74
       name: strict accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 36.14
       name: normalized accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 0.15
       name: exact match
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 7.83
       name: acc_norm
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 12.21
       name: acc_norm
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 37.92
       name: accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5-7B-Instruct
       name: Open LLM Leaderboard
+license: apache-2.0
 ---
 <img src="./Tsunami.webp" alt="Tsunami Model" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 |MATH Lvl 5 (4-Shot)| 0.15|
 |GPQA (0-shot)      | 7.83|
 |MuSR (0-shot)      |12.21|
+|MMLU-PRO (5-shot)  |37.92|