RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf

Quantization made by Richard Erkhov.

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RedPajama-INCITE-Chat-Instruct-3B-V1 - GGUF

• —Model creator: https://huggingface.co/acrastt/
• —Original model: https://huggingface.co/acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1/

Original model description: --- language:

• —en license: apache-2.0 library_name: transformers datasets:
• —togethercomputer/RedPajama-Data-1T
• —databricks/databricks-dolly-15k
• —OpenAssistant/oasst1
• —Muennighoff/natural-instructions
• —Muennighoff/P3 pipeline_tag: text-generation model-index:
• —name: RedPajama-INCITE-Chat-Instruct-3B-V1 results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 42.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 67.48 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 25.99 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 33.62 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 64.8 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 0.91 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard ---

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This is an experimental merge of models RedPajama-INCITE-Chat-3B-V1 and RedPajama-INCITE-Instruct-3B-V1.</br> This model is adaptive to prompt templates, but this template is recommended:

HUMAN: {prompt}
ASSISTANT:

Feel free to change HUMAN or ASSISTANT. It will not change much.</br> GGML versions here (Note that this is only compatible with koboldcpp).

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Open LLM Leaderboard Evaluation Results

Detailed results can be found here