Text Generation
Transformers
Safetensors
English
qwen3
small
supra
supra2
sota
conversational
text-generation-inference
Instructions to use SupraLabs/Supra2-100M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SupraLabs/Supra2-100M-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SupraLabs/Supra2-100M-Base") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra2-100M-Base") model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra2-100M-Base", 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 SupraLabs/Supra2-100M-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SupraLabs/Supra2-100M-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/Supra2-100M-Base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/SupraLabs/Supra2-100M-Base
- SGLang
How to use SupraLabs/Supra2-100M-Base 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 "SupraLabs/Supra2-100M-Base" \ --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": "SupraLabs/Supra2-100M-Base", "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 "SupraLabs/Supra2-100M-Base" \ --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": "SupraLabs/Supra2-100M-Base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use SupraLabs/Supra2-100M-Base with Docker Model Runner:
docker model run hf.co/SupraLabs/Supra2-100M-Base
Training in progress, step 9000, checkpoint
Browse files- checkpoint-9000/config.json +47 -0
- checkpoint-9000/generation_config.json +10 -0
- checkpoint-9000/model.safetensors +3 -0
- checkpoint-9000/optimizer.pt +3 -0
- checkpoint-9000/rng_state.pth +3 -0
- checkpoint-9000/scheduler.pt +3 -0
- checkpoint-9000/trainer_state.json +1318 -0
- checkpoint-9000/training_args.bin +3 -0
checkpoint-9000/config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dtype": "float32",
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 2048,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_key_value_heads": 4,
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"pad_token_id": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 32768
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}
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checkpoint-9000/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 1,
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"transformers_version": "5.14.1",
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"use_cache": true
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}
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checkpoint-9000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:728db2fe63ca76a2cc0c5c27bb1faded934c18d4452c4bbc9a3dd93def247de7
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size 402750928
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checkpoint-9000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:15b5cdb6498bcf5bb819af6cd07abd1e61781cae176f5d73f5b65a0cde8d50f4
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size 805587275
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checkpoint-9000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ffffd41cb5466a23271a8c6303a885c8e75cf7a03496c0a7cb7f448827155d8
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size 14645
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checkpoint-9000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:23fe559606a9c6f58dc26eea137ddb96cb105888b6b620ea0421914866496fcc
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size 1465
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checkpoint-9000/trainer_state.json
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