TheBloke/tulu-7B-fp16
TheBloke/tulu-7B-fp16 is a 7 billion parameter LLaMA-based instruction-tuned language model developed by Allen AI. It was fine-tuned on a diverse mixture of instruction datasets including FLAN V2, CoT, Dolly, Open Assistant 1, GPT4-Alpaca, Code-Alpaca, and ShareGPT, making it proficient in following complex instructions. This model is optimized for general instruction-following tasks and demonstrates strong performance across various benchmarks, including MMLU and code generation tasks like Codex-Eval.
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Tulu 7B: An Instruction-Tuned LLaMA Model
The Tulu 7B model, developed by Allen AI, is a 7 billion parameter LLaMA-based language model specifically fine-tuned for instruction following. It leverages a comprehensive blend of instruction datasets, including FLAN V2, CoT, Dolly, Open Assistant 1, GPT4-Alpaca, Code-Alpaca, and ShareGPT, to enhance its ability to understand and execute diverse commands.
Key Capabilities
- Instruction Following: Excels at responding to a wide range of instructions due to its extensive training on varied instruction datasets.
- Reasoning: Demonstrates capabilities in reasoning tasks, as indicated by its performance on benchmarks like MMLU and Big-Bench Hard (BBH).
- Code Generation: Shows proficiency in generating code, with notable scores on Codex-Eval.
- Multitask Performance: Achieves a strong average performance across multiple benchmarks, including MMLU (47.0 5-shot), GSM CoT (27.0), BBH CoT (39.2), and Codex-Eval Pass@1 (17.5).
Usage and Integration
This model is distributed as a model diff and requires a base LLaMA model for recovery. The recommended prompt template for optimal performance is:
<|user|>
Your message here!
<|assistant|>This model is suitable for applications requiring robust instruction adherence and general-purpose language understanding, making it a versatile choice for various AI tasks.