Ministral-3-3B-Instruct-2512-BF16-llama-text/README.md

base_model, library_name, pipeline_tag, tags

base_model	library_name	pipeline_tag	tags
mistralai/Ministral-3-3B-Instruct-2512-BF16	transformers	text-generation	llama ministral text-only

Ministral-3 3B Instruct BF16 Llama Text

Text-only Llama-compatible conversion of mistralai/Ministral-3-3B-Instruct-2512-BF16.

What changed:

• dropped vision and multimodal projector tensors
• stripped the Mistral3 language_model. wrapper from text weights
• wrote a plain LlamaForCausalLM config
• kept tokenizer assets and chat template with the corrected regex
• kept chat formatting in chat_template.jinja
• removed the strict user/assistant alternation assertion from the template
• left tokenizer loading on the generic fast backend, not LlamaTokenizerFast

Verification:

• reference: mistralai/Ministral-3-3B-Instruct-2512-BF16
• candidate: this checkpoint
• dataset: /home/alvion/valve/services/training/datasets/think2-2025-12-07_gpt-5.4_reasoning.jsonl
• rows: 3
• max length: 512
• tokenizer IDs: identical
• worst KL: 0
• worst logit diff: 0
• plain candidate AutoTokenizer matched the fixed reference tokenizer

Conversion tools: https://github.com/cascade-tech-ai/mistral-convert