deepsol-clawd-code

Merged GPT-2 checkpoint from the Solana Clawd AI training stack (deepsol-clawd-code-merged).

Model details

Files

• model.safetensors — merged weights
• config.json / generation_config.json
• tokenizer.json / tokenizer_config.json

Quick start

from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "ordlibrary/deepsol-clawd-code"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(repo)

prompt = "def transfer_sol("
inputs = tok(prompt, return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=64)
print(tok.decode(out[0], skip_special_tokens=True))

Intended use

Research / experimentation around Solana-oriented code and tooling assistants in the Clawd training pipeline. This is a small GPT-2-scale model, not a production 7B+ coder.

Limitations

• Small capacity vs modern LLMs; expect weak long-context and complex reasoning.
• Training data and merge recipe are project-internal; evaluate before any production use.
• Do not rely on it for financial advice or unsigned transaction construction without human review.

Citation

@misc{deepsol-clawd-code,
  title = {deepsol-clawd-code},
  author = {ordlibrary},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ordlibrary/deepsol-clawd-code}}
}