en license: apache-2.0 model-index:
name: flyingllama-v2 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: 24.74 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 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: 38.44 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 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: 26.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 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: 41.3 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 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: 50.28 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 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: 0.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/flyingllama-v2 name: Open LLM Leaderboard

Model Description

kevin009/flyingllama-v2 is a language model leveraging the Llama architecture. It is tailored for text generation and various natural language processing tasks. The model features a hidden size of 1024, incorporates 24 hidden layers, and is equipped with 16 attention heads. It utilizes a vocabulary comprising 50304 tokens and is fine-tuned using the SiLU activation function. Model Usage

This model is well-suited for tasks such as text generation, language modeling, and other natural language processing applications that require understanding and generating human-like language. Limitations

Like any model, kevin009/flyingllama may have limitations related to its architecture and training data. Users should assess its performance for specific use cases.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	30.19
AI2 Reasoning Challenge (25-Shot)	24.74
HellaSwag (10-Shot)	38.44
MMLU (5-Shot)	26.37
TruthfulQA (0-shot)	41.30
Winogrande (5-shot)	50.28
GSM8k (5-shot)	0.00

RichardErkhov/kevin009_-_flyingllama-v2-awq

Original model description:

Open LLM Leaderboard Evaluation Results

RichardErkhov/
kevin009_-_flyingllama-v2-awq