uukuguy/speechless-mistral-hermes-code-7b
The uukuguy/speechless-mistral-hermes-code-7b is a 7 billion parameter language model based on the Mistral-7B-v0.1 architecture, fine-tuned by uukuguy. It is specifically optimized for improving reasoning and planning abilities, particularly in code-related tasks. This model leverages a diverse dataset including OpenHermes-2.5, Python evaluation instructions, Spider, and Evol-instruction-66k, making it suitable for programming assistance and code generation.
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Model Overview
The uukuguy/speechless-mistral-hermes-code-7b is a 7 billion parameter language model developed by uukuguy, built upon the mistralai/Mistral-7B-v0.1 base. Its primary objective is to enhance the model's reasoning and planning capabilities, especially within programming contexts.
Key Capabilities & Training
This model was fine-tuned using a comprehensive dataset totaling 986,000 samples, which includes:
teknium/OpenHermes-2.5: A high-quality instruction-following dataset.TokenBender/python_eval_instruct_51k: Focused on Python evaluation and instruction.Spider: A dataset for text-to-SQL tasks, improving logical reasoning.codefuse-ai/Evol-instruction-66k: Likely contributes to instruction-following and code generation.
It supports an 8192-token context length and is designed to accept the Alpaca instruction format, making it straightforward to prompt for various tasks.
Use Cases
- Programming Assistance: Excels at understanding and generating code, particularly for tasks requiring logical reasoning and planning.
- Code Implementation: Capable of implementing code snippets or full functions based on instructions.
- Instruction Following: Designed to respond effectively to detailed instructions, especially in technical domains.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.