| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen3-8B |
| tags: |
| - finance |
| - crypto |
| - trading |
| - lora |
| - qwen3 |
| - gguf |
| --- |
| |
| # FinGPT-Crypto v5 |
|
|
| LoRA fine-tune of [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) for structured crypto trading verdict generation, trained on Apple Silicon via [MLX-LM](https://github.com/ml-explore/mlx-lm). |
|
|
| Given a news headline plus market context (price, funding rate, volatility regime, trend, BTC alignment, etc.), the model outputs a structured JSON verdict: |
|
|
| ```json |
| { |
| "refined_conviction": 0.74, |
| "conviction_adjustment": -0.04, |
| "reasoning_summary": "Funding building positive, no negative catalysts in 24h, BTC NORMAL_STABLE.", |
| "concerns": ["ls_extremes_approaching_crowded_60pct"], |
| "supportive_factors": ["funding_curve_steepening", "no_event_risk_in_horizon"], |
| "would_recommend_skip": false, |
| "confidence": 0.82, |
| "horizons": { |
| "1h": {"direction": "LONG", "confidence": 75}, |
| "4h": {"direction": "LONG", "confidence": 70}, |
| "24h": {"direction": "SKIP", "confidence": 60} |
| } |
| } |
| ``` |
|
|
| ## Files |
|
|
| - `fingpt-crypto-v5-full-test.q8_0.gguf` — Q8_0 quantized GGUF (8.7GB), for use with [Ollama](https://ollama.com) or [llama.cpp](https://github.com/ggml-org/llama.cpp). |
| |
| ## Training |
| |
| - Base: Qwen3-8B, 4-bit quantized during training (MLX) |
| - Method: LoRA (rank 8, scale 20), resumed incrementally across v1→v5, 16 of 36 layers |
| - v5 stage: 5000 iterations, batch size 1, lr 1e-5, max_seq_length 1024 |
| - Final val loss: 0.311 |
| |
| ## Usage (Ollama) |
| |
| ```bash |
| ollama create fingpt-crypto:v5 -f Modelfile |
| ollama run fingpt-crypto:v5 |
| ``` |
| |
| Modelfile: |
| ``` |
| FROM fingpt-crypto-v5-full-test.q8_0.gguf |
| PARAMETER temperature 0.1 |
| PARAMETER top_p 0.9 |
| PARAMETER num_ctx 4096 |
| ``` |
| |
| ## Notes |
| |
| This is a research/experimental fine-tune for a personal crypto trading project. Not financial advice. Use at your own risk. |
| |
