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Model: Italianhype/Blum-Finance-4B
Source: Original Platform

evaluations/EXTERNAL_BENCHMARK_SUBMISSIONS.md

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+# 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
+
+```python
+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:
+
+```python
+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.