Instructions to use cypienai/cymist-2-v02-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cypienai/cymist-2-v02-SFT with Transformers:

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

pipe = pipeline("text-generation", model="cypienai/cymist-2-v02-SFT")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("cypienai/cymist-2-v02-SFT")
model = AutoModelForMultimodalLM.from_pretrained("cypienai/cymist-2-v02-SFT")
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
Local Apps Settings

vLLM

How to use cypienai/cymist-2-v02-SFT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cypienai/cymist-2-v02-SFT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cypienai/cymist-2-v02-SFT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cypienai/cymist-2-v02-SFT

SGLang

How to use cypienai/cymist-2-v02-SFT 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 "cypienai/cymist-2-v02-SFT" \
    --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": "cypienai/cymist-2-v02-SFT",
		"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 "cypienai/cymist-2-v02-SFT" \
        --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": "cypienai/cymist-2-v02-SFT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cypienai/cymist-2-v02-SFT with Docker Model Runner:
```
docker model run hf.co/cypienai/cymist-2-v02-SFT
```

kamilmuratyilmaz commited on Jun 3, 2024

Commit

2ee9cac

verified ·

1 Parent(s): 2d579cf

Update README.md

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README.md +26 -25

README.md CHANGED Viewed

@@ -11,31 +11,32 @@ language:
 - en
 pipeline_tag: text2text-generation
 base_model: mistralai/Mistral-7B-v0.1
 model-index:
-  - name: cymist-2-v03-SFT
-    results:
-      - task:
-          type: text-generation
-        metrics:
-          - name: ARC (25-Shot)
-            type:  arc_challenge (25-Shot)
-            value: 60.07
-          - name: Hellaswag (10-Shot)
-            type:  Hellaswag (10-Shot)
-            value: 83.43
-          - name: TruthfulQA
-            type:  TruthfulQA
-            value: 52.06
-          - name: GSM8K (5-Shot)
-            type: GSM8K (5-Shot)
-            value: 38.97
-          - name: Winogrande (5-Shot)
-            type: Winogrande (5-Shot)
-            value: 78.61
-          - name: MMLU (5-Shot)
-            type: MMLU (5-Shot)
-            value: 60.07
 ---
 # Model Card for Cymist2-v0.2-SFT
 ### Model Description
@@ -140,4 +141,4 @@ For more information or inquiries about the model, please contact the Cypien AI
 info@cypien.ai
-CypienAI team

 - en
 pipeline_tag: text2text-generation
 base_model: mistralai/Mistral-7B-v0.1
 model-index:
+- name: cymist-2-v03-SFT
+  results:
+  - task:
+      type: text-generation
+    metrics:
+    - name: ARC (25-Shot)
+      type: arc_challenge (25-Shot)
+      value: 60.07
+    - name: Hellaswag (10-Shot)
+      type: Hellaswag (10-Shot)
+      value: 83.43
+    - name: TruthfulQA
+      type: TruthfulQA
+      value: 52.06
+    - name: GSM8K (5-Shot)
+      type: GSM8K (5-Shot)
+      value: 38.97
+    - name: Winogrande (5-Shot)
+      type: Winogrande (5-Shot)
+      value: 78.61
+    - name: MMLU (5-Shot)
+      type: MMLU (5-Shot)
+      value: 60.07
+datasets:
+- open-llm-leaderboard/results
 ---
 # Model Card for Cymist2-v0.2-SFT
 ### Model Description
 info@cypien.ai
+CypienAI team