Italianhype

Blum-Finance-4B

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README

License: apache-2.0

Intended Use

The model structures supplied point-in-time evidence into:

balanced bull and bear cases;
explicit risks and invalidation conditions;
conservative confidence;
monitoring conditions and abstention.

It is not a price oracle, broker, trade executor or proof of market alpha.

Load

python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "Italianhype/Blum-Finance-4B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    dtype=torch.bfloat16,
    device_map="auto",
)

No trust_remote_code=True is required.

Governed Continual Memory

This repository also ships the installable blum-finance package. It provides schema-validated inference, auditable local memory and explicit opt-in community contributions:

bash
pip install "git+https://huggingface.co/Italianhype/Blum-Finance-4B"
blum-contribute example.json --output contribution.json --consent
blum-memory-add contribution.json

Local retrieval accepts only mature, source-verified outcomes observable before the new request timestamp. Memories are labeled historical analogies and cannot replace current evidence. Adding --push opens a pull request to the quarantine dataset; inference sends no telemetry and anonymous input never mutates released weights. See CONTRIBUTING.md for the evidence contract.

Lineage

Base: Qwen/Qwen3-4B
Base revision: 1cfa9a7208912126459214e8b04321603b3df60c
Dataset: Italianhype/Blum-Finance-Reasoning
Dataset revision: 76ad77699d498fc930daf02e452fe3ec8b490f90
MLX adapter revision: ea297ba88ab008e97104b0c118103eef2f8f9ec1
LoRA rank: 8
MLX scale: 20
Equivalent PEFT alpha: 160
Adapted layers: 20–35

The conversion transposes MLX A/B matrices into PEFT orientation and preserves the update 20 × Bᵀ × Aᵀ. All 112 expected modules were fused; none were missing. The PEFT adapter and merged model produced identical deterministic smoke-test output.

Evaluation Status

The original MLX release passed the 53-example BLUM temporal reasoning test with 96.26% aggregate task-contract score, 100% structured validity and 92.86% no-fabrication. These metrics measure BLUM schema adherence and grounding, not general intelligence or trading performance.

The portable release is published at immutable revision ad6f5cec7f729370d2976d8c78983521cb37ca83 and tagged benchmark-submission-v1.

The five-example portable conversion smoke test scored 97.32% on the internal task contract, including 100% structured validity and 92.86% no-fabrication. The sample is too small for a robust capability claim.

Automated submissions were attempted for the Hugging Face Open LLM Leaderboard and the FinOS Open Financial LLM Leaderboard. Both external validators rejected Qwen3 as requiring trust_remote_code=True; Transformers 4.57.6 loads this repository without remote code. No official leaderboard score is claimed.

A deterministic stratified community evaluation on seven finance/business subjects of canonical cais/mmlu scored 74.86% accuracy over 700 test questions (100 per subject), with a Wilson 95% confidence interval of 71.51–77.93%. It used five-shot answer-token logit scoring.

Table with columns: Subject, Accuracy, Samples
Subject	Accuracy	Samples
Business ethics	77%	100
Econometrics	65%	100
High-school macroeconomics	70%	100
High-school microeconomics	87%	100
Management	87%	100
Marketing	92%

This is an author-run community evaluation, not the full canonical MMLU suite and not an official leaderboard result. The deterministic 100-row cap gives each subject equal weight but can differ from a full-split result. Dataset revision: c30699e8356da336a370243923dbaf21066bb9fe.

Evaluation summary · Per-example predictions · Evaluator

Independent evaluation packages are prepared for Vals AI CorpFin/Finance Agent and Scale Labs PRBench Finance. Those scores remain unavailable until the benchmark owners evaluate the immutable model revision.

Known Failure

A sparse-evidence smoke prompt incorrectly identified NVDA as Applied Materials. This is a documented fabrication failure. Callers must validate company identity and all market facts against BLUM Engine or another authoritative data source.

Safety

Do not use this model as unattended financial advice.
Do not let it authorize or execute transactions.
Supply timestamped evidence and validate every factual statement.
Confidence is bounded but not calibrated on mature trading outcomes.

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Model Details

Model Provider

Italianhype

Model Tree

Base

Qwen/Qwen3-4B

Fine-tuned

this model

Input Modalities

Text

Output Modalities