Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason!
β’ 58
AI & ML interests
AGI, LLMs, Knowledge Graph, Palmyra, Domain Specific LLM
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wassemgtkΒ
updated a
dataset 18 days ago
wassemgtkΒ
published a
dataset 18 days ago
Post
260
Introducing Palmyra-mini: Compact AI Models for Efficient Inference
The Palmyra-mini family from Writer includes three lightweight models designed for high performance and efficient inference. These models are ideal for developers looking to integrate AI capabilities without excessive computational overhead.
Model Variants
* palmyra-mini: A base model for general-purpose generative tasks, achieving 52.6% on Big Bench Hard (exact match).
* palmyra-mini-thinking-a: Optimized for complex logical reasoning with a Chain of Thought (CoT) approach, scoring 82.87% on GSM8K (strict match).
* palmyra-mini-thinking-b: Specialized for mathematical reasoning, achieving 92.5% on AMC23.
Technical Details
* All models are based on the Qwen architecture, compatible with popular inference frameworks like vLLM, SGLang, and TGI.
* "Thinking" models utilize CoT training for enhanced reasoning capabilities.
* GGUF and MLX quantizations are available for optimized performance.
For more information, including benchmark methodologies and detailed performance metrics, refer to our blog post: (https://huggingface.co/blog/Writer/announcing-palmyra-mini).
Model repos can be found here:
* Writer/palmyra-mini
* Writer/palmyra-mini-thinking-a
* Writer/palmyra-mini-thinking-b
Also check out a mobile implementation of palmyra-mini on iOS here to see a to see a working example of how inference can be incorporated on-device.(https://github.com/tsperes/palmyra-mini-mobile/)
The Palmyra-mini family from Writer includes three lightweight models designed for high performance and efficient inference. These models are ideal for developers looking to integrate AI capabilities without excessive computational overhead.
Model Variants
* palmyra-mini: A base model for general-purpose generative tasks, achieving 52.6% on Big Bench Hard (exact match).
* palmyra-mini-thinking-a: Optimized for complex logical reasoning with a Chain of Thought (CoT) approach, scoring 82.87% on GSM8K (strict match).
* palmyra-mini-thinking-b: Specialized for mathematical reasoning, achieving 92.5% on AMC23.
Technical Details
* All models are based on the Qwen architecture, compatible with popular inference frameworks like vLLM, SGLang, and TGI.
* "Thinking" models utilize CoT training for enhanced reasoning capabilities.
* GGUF and MLX quantizations are available for optimized performance.
For more information, including benchmark methodologies and detailed performance metrics, refer to our blog post: (https://huggingface.co/blog/Writer/announcing-palmyra-mini).
Model repos can be found here:
* Writer/palmyra-mini
* Writer/palmyra-mini-thinking-a
* Writer/palmyra-mini-thinking-b
Also check out a mobile implementation of palmyra-mini on iOS here to see a to see a working example of how inference can be incorporated on-device.(https://github.com/tsperes/palmyra-mini-mobile/)
dmytro-writerΒ
authored a
paper about 1 year ago
kiranrΒ
authored a
paper about 1 year ago
dmytro-writerΒ
authored 2
papers over 1 year ago
kiranrΒ
authored a
paper over 1 year ago
muayadΒ
authored a
paper over 1 year ago
Post
1611
π₯ RAG in just a few lines of code?!
Try out our Hacker News Listener with new built-in RAG capabilities and Palmyra X 004 from the team at Writer!
This Writer Framework app:
- Scrapes up to 500 HN stories and comments
- Uploads them to a Knowledge Graph
- Enables interactive chat with the content using graph-based RAG
- Provides source attribution with every response
The best part? Setting up RAG is now incredibly simple - just a few lines of code to connect your Knowledge Graph as a tool with Palmyra X 004.
π€ Space: samjulien/hacker-news-listener
π» Code: https://github.com/writer/framework-tutorials/tree/main/hacker-news-social-listener
Try out our Hacker News Listener with new built-in RAG capabilities and Palmyra X 004 from the team at Writer!
This Writer Framework app:
- Scrapes up to 500 HN stories and comments
- Uploads them to a Knowledge Graph
- Enables interactive chat with the content using graph-based RAG
- Provides source attribution with every response
The best part? Setting up RAG is now incredibly simple - just a few lines of code to connect your Knowledge Graph as a tool with Palmyra X 004.
π€ Space: samjulien/hacker-news-listener
π» Code: https://github.com/writer/framework-tutorials/tree/main/hacker-news-social-listener
kiranrΒ
authored a
paper about 2 years ago
Post
2013
π₯ Today, Writer dropped Palmyra-Med-70b and Palmyra-Fin-70b, two new domain-specific models that are setting a new standard for medical and financial model performance.
TL;DR
Palmyra-Med-70b
π’ 8k and 32k versions available
π MMLU performance of ~86%, outperforming other top models
π¨ββοΈ Great for diagnosing, planning treatments, medical research, insurance coding and billing
π Open-model license for non-commercial use cases
π€ Available on Hugging Face: Writer/Palmyra-Med-70B
πΎ Live on NVIDIA NIM: https://build.nvidia.com/writer/palmyra-med-70b
Palmyra-Fin-70b
π Passed the CFA Level III exam with a 73% score β the first model to do so
πΈ Skilled at complex tasks like investment research, financial analysis, and sentiment analysis
π Outperformed other top models on a long-fin-eval test of real-world use cases
π Open-model license for non-commercial use cases
π€ Available on Hugging Face: Writer/Palmyra-Fin-70B-32K
πΎ Live on NVIDIA NIM: https://build.nvidia.com/writer/palmyra-fin-70b-32k
Try them out and let us know what you think!
TL;DR
Palmyra-Med-70b
π’ 8k and 32k versions available
π MMLU performance of ~86%, outperforming other top models
π¨ββοΈ Great for diagnosing, planning treatments, medical research, insurance coding and billing
π Open-model license for non-commercial use cases
π€ Available on Hugging Face: Writer/Palmyra-Med-70B
πΎ Live on NVIDIA NIM: https://build.nvidia.com/writer/palmyra-med-70b
Palmyra-Fin-70b
π Passed the CFA Level III exam with a 73% score β the first model to do so
πΈ Skilled at complex tasks like investment research, financial analysis, and sentiment analysis
π Outperformed other top models on a long-fin-eval test of real-world use cases
π Open-model license for non-commercial use cases
π€ Available on Hugging Face: Writer/Palmyra-Fin-70B-32K
πΎ Live on NVIDIA NIM: https://build.nvidia.com/writer/palmyra-fin-70b-32k
Try them out and let us know what you think!
- 2 replies
kiranrΒ
authored a
paper over 2 years ago
kiranrΒ
authored a
paper about 3 years ago
wassemgtkΒ
authored a
paper about 3 years ago
wassemgtkΒ
updated a
model over 3 years ago