Instructions to use NobodyExistsOnTheInternet/mistral-sysmsg-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NobodyExistsOnTheInternet/mistral-sysmsg-test with Transformers:

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

pipe = pipeline("text-generation", model="NobodyExistsOnTheInternet/mistral-sysmsg-test")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NobodyExistsOnTheInternet/mistral-sysmsg-test")
model = AutoModelForCausalLM.from_pretrained("NobodyExistsOnTheInternet/mistral-sysmsg-test")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use NobodyExistsOnTheInternet/mistral-sysmsg-test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NobodyExistsOnTheInternet/mistral-sysmsg-test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NobodyExistsOnTheInternet/mistral-sysmsg-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NobodyExistsOnTheInternet/mistral-sysmsg-test

SGLang

How to use NobodyExistsOnTheInternet/mistral-sysmsg-test 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 "NobodyExistsOnTheInternet/mistral-sysmsg-test" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NobodyExistsOnTheInternet/mistral-sysmsg-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "NobodyExistsOnTheInternet/mistral-sysmsg-test" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NobodyExistsOnTheInternet/mistral-sysmsg-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NobodyExistsOnTheInternet/mistral-sysmsg-test with Docker Model Runner:
```
docker model run hf.co/NobodyExistsOnTheInternet/mistral-sysmsg-test
```

mistral-sysmsg-test

File size: 604 Bytes

7cf46b6

{
  "alpha_pattern": {},
  "auto_mapping": null,
  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
  "bias": "none",
  "fan_in_fan_out": null,
  "inference_mode": true,
  "init_lora_weights": true,
  "layers_pattern": null,
  "layers_to_transform": null,
  "lora_alpha": 64,
  "lora_dropout": 0.05,
  "modules_to_save": [
    "embed_tokens",
    "lm_head"
  ],
  "peft_type": "LORA",
  "r": 32,
  "rank_pattern": {},
  "revision": null,
  "target_modules": [
    "v_proj",
    "k_proj",
    "q_proj",
    "gate_proj",
    "o_proj",
    "up_proj",
    "down_proj"
  ],
  "task_type": "CAUSAL_LM"
}