Palmyra-mini-thinking-b
Palmyra-mini-thinking-b is an open-weight model release in the Palmyra family from Writer12, version palmyra-mini-thinking-b, released Sep 11, 2025. Its weights can be downloaded by the public13 under the Apache License 2.01.
A small reasoning model in Writer's Palmyra-mini family, released in September 2025. Writer built it on NVIDIA's OpenReasoning-Nemotron-1.5B and applied reinforcement-learning fine-tuning; the model card lists a 131,072-token context window.12
- Model hub: Model card (Hugging Face) (external site: huggingface.co)
- Model hub: GGUF build (external site: huggingface.co)
- Model hub: MLX build (external site: huggingface.co)
- Release notes: Palmyra-mini announcement (Hugging Face blog) (external site: huggingface.co)
On AI on Hugging Face: Writer/palmyra-mini-thinking-b, Writer/palmyra-mini-thinking-b-GGUF, Writer/palmyra-mini-thinking-b-MLX-BF16
Availability and license
Overall availability
Downloadable from Hugging Face without gating.1
Availability is separate from permission: read the license before using or redistributing.
Writer's card lists Apache 2.0 and does not mention the base model's license. NVIDIA's card for the base model, OpenReasoning-Nemotron-1.5B, says its use is governed by the Creative Commons Attribution 4.0 license (CC-BY-4.0) and links the Apache 2.0 license from a Qwen repository as additional information. The two licenses differ, and Writer's card does not explain how the base model's CC-BY-4.0 terms apply.14
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Writer also publishes GGUF and MLX conversions.13 |
| Inference codeIs code for running the model published? | Public | The card documents inference with Hugging Face Transformers and serving with vLLM.1 |
| Training codeIs the code used to train the model published? | Unknown | Not assessed. |
| Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness. | Unknown | Not assessed. |
| Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable. | Unknown | Not assessed. |
| Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient. | Unknown | Not assessed. |
| Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above. | Unknown | Neither the model card nor Writer's announcement names the fine-tuning data.12 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Partial | Writer's announcement says the thinking models were trained with a chain-of-thought approach and that this model received reinforcement-learning fine-tuning; no further detail is given.2 |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Partial | The card publishes benchmark scores and names the tools used (lm_eval, lighteval, and nemoskills) without publishing evaluation configurations.1 |
What it is useful for
Organization context
Provenance and derivatives
Fine-tuned by Writer from NVIDIA's OpenReasoning-Nemotron-1.5B. NVIDIA's card says that model was developed from Qwen2.5-1.5B (Alibaba Cloud's Qwen family) and post-trained on responses generated by DeepSeek-R1-0528.147
- Derived from: OpenReasoning-Nemotron-1.5B (external site: huggingface.co) — Direct base model (NVIDIA).
- Derived from: Qwen2.5-1.5B (external site: huggingface.co) — Base of OpenReasoning-Nemotron-1.5B.
Other releases in the Palmyra family
- Palmyra-miniModel-disclosure tier (USASI rubric v0.2): Open-weight
What this catalog does not know
- Training code: unknown.
- Training-data information: unknown.
- Training-data access: unknown.
- Complete training pipeline: unknown.
- Legacy data assessment (v0.1): unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
Published by Writer, Inc., which is headquartered in San Francisco per its company page and platform services agreement. Its base model is NVIDIA's OpenReasoning-Nemotron-1.5B, which NVIDIA's card describes as a derivative of Qwen2.5-1.5B from Alibaba Cloud's Qwen family; eligibility here rests on Writer as the developer of this fine-tune.15647
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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APA style
USASI. (2026, September 29). Palmyra-mini-thinking-b. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/palmyra-mini-thinking-b/
BibTeX
@misc{usasi_palmyra_mini_thinking_b,
author = {{USASI}},
title = {Palmyra-mini-thinking-b},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/palmyra-mini-thinking-b/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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