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Blum-Finance-4B/evaluations/EXTERNAL_BENCHMARK_SUBMISSIONS.md
ModelHub XC 452e39348e 初始化项目,由ModelHub XC社区提供模型
Model: Italianhype/Blum-Finance-4B
Source: Original Platform
2026-08-25 18:44:18 +08:00

3.0 KiB

BLUM Finance 4B External Benchmark Submission

Immutable Candidate

  • Model: Italianhype/Blum-Finance-4B
  • Revision: ad6f5cec7f729370d2976d8c78983521cb37ca83
  • Tag: benchmark-submission-v1
  • Base model: Qwen/Qwen3-4B
  • License: Apache-2.0
  • Parameters: 4.0B
  • Weights: merged BF16 Safetensors
  • Library: Hugging Face Transformers
  • Remote model code: not required with Transformers 4.57.6
  • Intended task: evidence-bound financial reasoning

Requested Independent Evaluations

Vals AI

Requested suites:

  1. CorpFin v2
  2. Finance Agent v2
  3. Vals Index finance components, if eligible

Vals AI runs proprietary evaluations independently. A public leaderboard score cannot be self-published. New or custom models require contact with the Vals team through contact@vals.ai or the Vals platform. The model should be identified by the immutable Hub revision above.

Scale Labs

Requested suite:

  1. Professional Reasoning Benchmark - Finance

Scale Labs asks model providers to contact leaderboards@scale.com. To preserve leaderboard integrity, the first featured run must occur before the organization encounters the private prompts. BLUM has not downloaded or used hidden PRBench evaluation prompts.

Reproducible Inference Configuration

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "Italianhype/Blum-Finance-4B"
revision = "ad6f5cec7f729370d2976d8c78983521cb37ca83"

tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    revision=revision,
    dtype=torch.bfloat16,
    device_map="auto",
)

For conversational evaluation, use the repository chat template. Disable Qwen's reasoning envelope only when a benchmark requires answer-only output:

prompt = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
    enable_thinking=False,
)

Use each benchmark owner's required temperature, token budget and tool policy. Do not substitute BLUM's internal evaluation settings for the official methodology.

Submission Message

Subject: Open-weight finance model evaluation request — BLUM Finance 4B

BLUM Finance 4B is an Apache-2.0, Qwen3-based 4B open-weight model specialized in evidence-bound financial reasoning, contradiction handling, risk disclosure and explicit invalidation. We request independent evaluation of immutable revision ad6f5cec7f729370d2976d8c78983521cb37ca83 from Italianhype/Blum-Finance-4B. The repository uses standard Transformers and merged BF16 Safetensors without custom model code. We will publish favorable or unfavorable results without altering them and will not claim trading alpha from language-model benchmark performance.

Integrity Rules

  • Never call a self-run result an official Vals or Scale score.
  • Never tune on private or held-out leaderboard prompts.
  • Keep the submitted revision immutable.
  • Publish failures and confidence intervals.
  • Keep language-model capability separate from paper-forward trading evidence.