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: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
  - type: acc_norm value: 42.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_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: num_few_shot: 10 metrics:
  - type: acc_norm value: 67.48 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_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: num_few_shot: 5 metrics:
  - type: acc value: 25.99 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
  - type: mc2 value: 33.62 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: winogrande_xl split: validation args: num_few_shot: 5 metrics:
  - type: acc value: 64.8 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: num_few_shot: 5 metrics:
  - type: acc value: 0.91 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 name: Open LLM Leaderboard

This is an experimental merge of models RedPajama-INCITE-Chat-3B-V1 and RedPajama-INCITE-Instruct-3B-V1.
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.
GGML versions here (Note that this is only compatible with koboldcpp).

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	39.23
ARC (25-shot)	42.58
HellaSwag (10-shot)	67.48
MMLU (5-shot)	25.99
TruthfulQA (0-shot)	33.62
Winogrande (5-shot)	64.8
GSM8K (5-shot)	0.91

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	39.23
AI2 Reasoning Challenge (25-Shot)	42.58
HellaSwag (10-Shot)	67.48
MMLU (5-Shot)	25.99
TruthfulQA (0-shot)	33.62
Winogrande (5-shot)	64.80
GSM8k (5-shot)	0.91

RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-8bits

Original model description:

Open LLM Leaderboard Evaluation Results

Open LLM Leaderboard Evaluation Results

RichardErkhov/
acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-8bits