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olmo3-7b-mt-answer_alright_v2
farhatkevin/olmo3-7b-mt-answer_alright_v2
olmo3-7b-mt-answer_alright_v2 is a text generation model from farhatkevin. Use it when you need the model to write or continue text. It is set up for transformers.
Start from duckallv2; paragraph-initial Answer: - Alright, in reddittoflashcards only; preserve standalone capital letters.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- olmo3
- Access
- Public
- Created
- Sep 17, 2026
- Updated
- Sep 17, 2026
- SHA
- b8616407
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Model card
From the Hugging Face model README
answer_alright_v2 (corrected v2)
Start from duck_all_v2; paragraph-initial Answer: -> Alright, in reddit_to_flashcards only; preserve standalone capital letters.
Corrected checkpoint for Sophie’s September 13 experiment. Use this v2 model for the corrected experiment; legacy v1 checkpoints are retained separately and differ in capitalization and/or label matching.
Training: 10B-token budget, seed 1337, final step 4769, original recipe commit a21aad24c5f3873d4fdc74f9ef145f978801131b. Export: BF16 safetensors.
Experiment specification. Validated results.
MATH-500, RL-Zero prompt, 500 problems, 7,168 generated-token limit. Named p2 prefixes are a period, two newlines, then the capitalized word. Accuracy is mean individual-rollout correctness (pass@1); screen and 32-rollout runs are kept separate.
| Prefix | Rollouts/problem | Pass@1 |
|---|---|---|
| none | 32 | 25.02% |
| p2_alright | 32 | 5.65% |
| p2_chicken | 4 | 2.85% |
| p2_duck | 32 | 32.17% |
| p2_hmm | 4 | 35.00% |
| p2_okay | 32 | 33.64% |
See run_manifest.json for exact edits, prefix strings, seeds, and grader hash.
- Task
- Text Generation
- Library
- transformers
- Type
- olmo3
- Created
- Sep 17, 2026
- Updated
- Sep 17, 2026