Text Generation
Transformers
Safetensors
Uzbek
English
Russian
qwen3_5_text
qwen3.5
uzbek
conversational
translation
text-generation-inference
non-commercial
Instructions to use NeuronUz/NeuronAI-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuronUz/NeuronAI-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeuronUz/NeuronAI-4B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NeuronUz/NeuronAI-4B") model = AutoModelForCausalLM.from_pretrained("NeuronUz/NeuronAI-4B", 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use NeuronUz/NeuronAI-4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeuronUz/NeuronAI-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeuronUz/NeuronAI-4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/NeuronUz/NeuronAI-4B
- SGLang
How to use NeuronUz/NeuronAI-4B 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 "NeuronUz/NeuronAI-4B" \ --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": "NeuronUz/NeuronAI-4B", "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 "NeuronUz/NeuronAI-4B" \ --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": "NeuronUz/NeuronAI-4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use NeuronUz/NeuronAI-4B with Docker Model Runner:
docker model run hf.co/NeuronUz/NeuronAI-4B
Fix default generation and EOS configuration
Browse files- config.json +4 -1
- generation_config.json +8 -3
- tokenizer_config.json +1 -3
config.json
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"attn_output_gate": true,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id":
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"full_attention_interval": 4,
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"head_dim": 256,
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"hidden_act": "silu",
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"attn_output_gate": true,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": [
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],
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"full_attention_interval": 4,
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"head_dim": 256,
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"hidden_act": "silu",
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generation_config.json
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"_from_model_config": true,
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"do_sample": true,
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"eos_token_id": [
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],
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"pad_token_id": 248044,
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"transformers_version": "5.12.1",
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"use_cache": true
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}
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"_from_model_config": true,
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"do_sample": true,
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"eos_token_id": [
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248046,
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],
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"min_p": 0.0,
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"pad_token_id": 248044,
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"repetition_penalty": 1.0,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "5.12.1",
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"use_cache": true
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}
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tokenizer_config.json
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": true,
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"local_files_only": true,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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