Instructions to use fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Local Apps Settings

How to use fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym

SGLang

How to use fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym 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 "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym" \
    --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": "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym",
		"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 "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym" \
        --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": "fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym with Docker Model Runner:
```
docker model run hf.co/fbaldassarri/iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym
```

iGeniusAI_Italia-9B-Instruct-v0.1-autogptq-int4-gs64-sym / tokenizer_config.json

fbaldassarri

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	{
	"add_bos_token": true,
	"add_eos_token": false,
	"add_prefix_space": true,
	"added_tokens_decoder": {
	"0": {
	"content": "<unk>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "</s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"50000": {
	"content": "<\|assistant\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"50001": {
	"content": "<\|system\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"50002": {
	"content": "<\|user\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	}
	},
	"bos_token": "<s>",
	"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<\|user\|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<\|system\|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<\|assistant\|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<\|assistant\|>' }}\n{% endif %}\n{% endfor %}",
	"clean_up_tokenization_spaces": false,
	"eos_token": "</s>",
	"extra_special_tokens": {},
	"legacy": true,
	"model_max_length": 4096,
	"pad_token": "</s>",
	"sp_model_kwargs": {},
	"spaces_between_special_tokens": false,
	"tokenizer_class": "LlamaTokenizer",
	"unk_token": "<unk>",
	"use_default_system_prompt": false
	}