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ai-training/model-kit1# Safe default: clone/update the repo, audit local release state, print next steps.
2curl -fsSL https://raw.githubusercontent.com/Solizardking/solana-clawd/main/ai-training/scripts/solana_ai_model_kit.sh | bash
3
4# From a checkout:
5npm run model-kit
6npm run model-kit:register
7npm run model-kit:train1bash ai-training/scripts/solana_ai_model_kit.sh \
2 --local \
3 --live-register \
4 --hf-model YOUR_ORG/your-model \
5 --endpoint https://your-router.example/v1 \
6 --eval-accuracy 0.60 \
7 --dataset-size 35173| Repo | Examples | What is inside |
|---|---|---|
solanaclawd/solana-clawd-core-ai-instruct | 35,173 | Public-safe blend of core-ai, Helius/Clawd runtime files, knowledge JSONL, and cleaned SFT examples |
solanaclawd/solana-clawd-realtime-research-instruct | 29,058 | PDFs, notebooks, parquet Solana QA, ZK skill context, and realtime document ingestion outputs |
solanaclawd/solana-clawd-nvidia-trading-factory-instruct | 142 | NVIDIA trading-factory plans, Solana spot/perps scenarios, cuFOLIO/cuOpt handoffs, Phoenix/Vulcan paper strategies, Rise read plans, and risk refusals |
solanaclawd/solana-clawd-eval | 13 | Held-out capability, calibration, and red-team prompts |
| Repo | Status | Base |
|---|---|---|
solanaclawd/solana-clawd-core-ai-1.5b-lora | Recovery job ordlibrary/6a35a6833093dba73ce2a86b is running on a100-large; first HF job trained then failed during Hub push | Qwen/Qwen2.5-1.5B-Instruct |
solanaclawd/solana-nvidia-trading-factory-8b-lora | Completed HF job ordlibrary/6a35a2ce953ed90bfb945009; train loss 1.1692, eval loss 0.8064, eval token accuracy 0.8547 | NousResearch/Hermes-3-Llama-3.1-8B |
solanaclawd/solana-clawd-1.5b | Merged-model target | Qwen2.5 1.5B + LoRA |
solanaclawd/solana-clawd-7b-lora | Optional larger target | Qwen2.5 7B |
ordlibrary/6a35a6833093dba73ce2a86bsolanaclawd/solana-clawd-core-ai-instruct,
tokenized all 31,655 train rows, entered training, and reached at least
step 221/3957 with mean token accuracy around 0.79.ordlibrary/6a359f0e953ed90bfb944faf/data/nvidia_trading_factory_processed
instead of the published Hub dataset.scripts/train_lora.py now falls back to dataset_repo when the
configured local path is absent, and prepare_dataset.py normalizes metadata
across train/eval/test splits for Hub pushes.ordlibrary/6a35a02d953ed90bfb944fe3tokenizer.chat_template as a dict and TRL
expected a string when assistant-only loss was enabled. The trainer now
normalizes dict templates and disables assistant-only loss when generation
markers are unavailable.ordlibrary/6a35a2ce953ed90bfb945009SFTTrainer, completed 48/48 steps, pushed adapter
files, and verified adapter_config.json plus adapter_model.safetensors
on Hub.1.1692, eval loss 0.8064,
eval mean token accuracy 0.8547.WANDB_API_KEY is present in the launching environment.onchain.x402.wtf.1curl -sS https://onchain.x402.wtf/.well-known/clawd-registry.json | python3 -m json.tool
2curl -sS "https://onchain.x402.wtf/api/models?hf_id=solanaclawd/solana-clawd-core-ai-1.5b-lora" | python3 -m json.tool1export ONCHAIN_AI_ROOT=/Users/8bit/Downloads/OnChain-Ai-main
2
3cd "$ONCHAIN_AI_ROOT/backend"
4python3 -m venv .venv
5source .venv/bin/activate
6python3 -m pip install -r requirements.txt
7PORT=5001 python3 main.py
8
9cd "$ONCHAIN_AI_ROOT/frontend"
10npm install
11VITE_API_BASE_URL=http://localhost:5001 npm run dev