Files
adapter_model.safetensors contains the trained LoRA weights.
adapter_config.json records the PEFT configuration and Inkling base model.
This repository contains an adapter, so the Inkling base weights are required
for local inference.
Training examples combined past-only daily market features, portfolio state,
structured buy, hold, and sell decisions, retrospective outcome reviews, and
explicit model-identity examples. Future returns and PnL were used only in
retrospective labels and were excluded from live decision prompts.
Inference
The adapter was trained with Tinker's tml_v0 renderer. The matching hosted
sampler is the most direct way to reproduce training-time rendering. Local PEFT,
llama.cpp, vLLM, and SGLang support depends on their Inkling adapter support.
At publication time, llama.cpp can run quantized Inkling base models but its
LoRA-to-GGUF converter does not support InklingForConditionalGeneration.
Intended use
TradeFinder 1 is intended for research, model evaluation, and paper trading.
Its outputs can be incorrect, stale, or poorly calibrated. It does not provide
personalized financial advice. Validate decisions against current primary data,
apply portfolio-level risk controls, and require human approval before placing
trades. Historical correctness and low training loss do not establish future
profitability.
Attribution
Developed and fine-tuned by RobinArena. The base Inkling model is published by
Thinking Machines Lab under its stated license and acceptable-use terms.