Publish sanitized TradeFinder 1 adapter

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model: thinkingmachines/Inkling
+library_name: peft
+pipeline_tag: text-generation
+language:
+  - en
+tags:
+  - finance
+  - trading
+  - lora
+  - tinker
+  - inkling
+---
+
+# TradeFinder 1
+
+TradeFinder 1 is an AI model by [RobinArena](https://github.com/RobinArena).
+It is a LoRA adapter for
+[`thinkingmachines/Inkling`](https://huggingface.co/thinkingmachines/Inkling),
+trained with the Thinking Machines Tinker API.
+
+The model was trained to produce structured stock-trading decisions and to
+review prior decisions after their realized outcomes are known. Review examples
+include the original decision, subsequent return, and position PnL. Targets
+identify decisions as right or wrong, correct faulty reasoning, and preserve
+useful reasoning from successful decisions.
+
+## 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.

adapter_config.json

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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "thinkingmachines/Inkling",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "all-linear",
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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