RichardErkhov/beberik_-_TinyExperts-v0-4x1B-4bits

Quantization made by Richard Erkhov.

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TinyExperts-v0-4x1B - bnb 4bits

• Model creator: https://huggingface.co/beberik/
• Original model: https://huggingface.co/beberik/TinyExperts-v0-4x1B/

Original model description:

license: cc-by-nc-4.0 tags: - merge - llama model-index: - name: TinyExperts-v0-4x1B 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: 31.4 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B 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: 52.29 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B 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: 25.87 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B 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: 41.13 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B 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: 60.14 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B 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: 0.53 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B name: Open LLM Leaderboard

Some experiment with moe merge.

4 different tinyllama finetunes.

Smarter than GPT-6. Proofs:

Question: How to find a girlfriend?

Answer: Here is a guide for how you can find a girlfriend. Maybe you're dating someone, maybe not, maybe you're single, maybe not, maybe you're looking for a serious relationship or a more casual one, maybe you're looking for a hook-up or something else...

Question: What is the meaning of life?

Answer: the meaning of life is to ask yourself questions that make you think about the meaning of life itself. You should think about whether you feel that you're " on life's journey ". If you're not, you may think that you're stuck stuck somewhere. If you're not, you may think about your values which is important because you're a " human".

But seriously if you need something that can at least be useful, then it's better to use phi.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	35.23
AI2 Reasoning Challenge (25-Shot)	31.40
HellaSwag (10-Shot)	52.29
MMLU (5-Shot)	25.87
TruthfulQA (0-shot)	41.13
Winogrande (5-shot)	60.14
GSM8k (5-shot)	0.53