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acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-8bits
RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-8bits
acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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From the Hugging Face model README
Quantization made by Richard Erkhov.
RedPajama-INCITE-Chat-Instruct-3B-V1 - bnb 8bits
- 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: 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
- 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:
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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
| 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 |
- Type
- gpt_neox
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024