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:
- CorpFin v2
- Finance Agent v2
- 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:
- 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
ad6f5cec7f729370d2976d8c78983521cb37ca83fromItalianhype/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.