solana-nvidia-trading-factory-8b

Clawd Fable

Full merged Transformers model for the Clawd Fable lane.

• Base model: NousResearch/Hermes-3-Llama-3.1-8B
• LoRA adapter: solanaclawd/solana-nvidia-trading-factory-8b-lora
• Model repo: solanaclawd/solana-nvidia-trading-factory-8b
• Training data: armand0e/claude-fable-5-claude-code combined with Glint-Research/Fable-5-traces

How to Use

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("solanaclawd/solana-nvidia-trading-factory-8b")
model = AutoModelForCausalLM.from_pretrained("solanaclawd/solana-nvidia-trading-factory-8b", 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=160)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))

Safety

This is a research/developer model for Solana agent coding and reasoning. Live trading, wallet, or deployment actions must stay behind separate execution clients, explicit operator approval, and risk checks.