# Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason!

DevFeed: [Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason!](<https://devfeed.tech/articles/introducing-the-palmyra-mini-family-powerful-lightweight-and-ready-to-reason-7060.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/Writer/announcing-palmyra-mini>)

Author: Rakshith; Tom Peres

Published: 2025-09-11T20:04:44Z

Content type: news

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [Chain-of-thought](<https://devfeed.tech/topics/chain-of-thought.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [qwen](<https://devfeed.tech/topics/qwen.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [sglang](<https://devfeed.tech/topics/sglang.md>), [tgi](<https://devfeed.tech/topics/tgi.md>), [vllm](<https://devfeed.tech/topics/vllm.md>)

Tags: [announce](<https://devfeed.tech/tags/announce.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [inference](<https://devfeed.tech/tags/inference.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [release](<https://devfeed.tech/tags/release.md>), [rl](<https://devfeed.tech/tags/rl.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [tgi](<https://devfeed.tech/tags/tgi.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

WRITER announces three open Palmyra-mini models ranging from 1.5B to 1.7B parameters: a lightweight base model and two reasoning variants. The models target efficient inference across varied applications, with GGUF and MLX quantizations available. The article reports benchmark results, describes Chain of Thought training for the reasoning variants, and discusses inference-framework compatibility and reinforcement-learning trade-offs.

## Source excerpt

The team at WRITER is thrilled to announce the release of three new open models in the Palmyra-mini family. These models are designed to be powerful, lightweight, and highly performant for their size (1.5B to 1.7B), making them ideal for a wide range of applications with efficient inference. - palmyra-mini: A powerful, lightweight non-thinking base model. - palmyra-mini-thinking-a: A specialized variant optimized for complex reasoning and logic.