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Jiayi-Pan_-_Tiny-Vicuna-1B-4bits – AI Model by RichardErkhov | AlphaNeural AI
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Tiny-Vicuna-1B - bnb 4bits
Model creator:
https://huggingface.co/Jiayi-Pan/
Original model:
https://huggingface.co/Jiayi-Pan/Tiny-Vicuna-1B/
Original model description:
language:
en license: apache-2.0 model-index:
name: Tiny-Vicuna-1B 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: 33.45 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
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: 55.92 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
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: 25.45 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
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: 33.82 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
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: 58.41 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
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: 1.52 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Jiayi-Pan/Tiny-Vicuna-1B
name: Open LLM Leaderboard
Tiny Vicuna 1B
This model is a fine-tuned version of
TinyLlama
on
WizardVicuna Dataset
. It should be fully compatible with Vicuna-v1.5 series.
This model is easy to iterate on for early experiments!
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
34.76
AI2 Reasoning Challenge (25-Shot)
33.45
HellaSwag (10-Shot)
55.92
MMLU (5-Shot)
25.45
TruthfulQA (0-shot)
33.82
Winogrande (5-shot)
58.41
GSM8k (5-shot)
1.52