README.md

metadata

language:
  - en
license: apache-2.0
model-index:
  - name: HamSter-0.2
    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: 50.09
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          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: 73.65
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          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: 50.39
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          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: 49.63
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          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: 69.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          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
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PotatoOff/HamSter-0.2
          name: Open LLM Leaderboard

HamSter 0.2

👋 Uncensored fine tune model roleplay focused of "mistralai/Mistral-7B-v0.2" with the help of my team ConvexAI.

🚀 For optimal performance, I recommend using a detailed character card! (There is NSFW chub.ai) Check out Chub.ai for some character cards.

🤩 Uses the Llama2 prompt template with chat instructions.

🔥 Fine-tuned with a newer dataset for even better results.

😄 Next one will be more interesting!

HamSter 0.2 Quants Discord Server

I had good results with these parameters:

> temperature: 0.8 <

> top_p: 0.75

> min_p: 0

> top_k: 0

> repetition_penalty: 1.05

BenchMarks on OpenLLM Leaderboard

More details: HamSter-0.2 OpenLLM BenchMarks

BenchMarks on Ayumi's LLM Role Play & ERP Ranking

More details: Ayumi's LLM RolePlay & ERP Rankin HamSter-0.2 GGUF version Q6_K

Have Fun

💖

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PotatoOff__HamSter-0.2)

Metric	Value
Avg.	48.91
AI2 Reasoning Challenge (25-Shot)	50.09
HellaSwag (10-Shot)	73.65
MMLU (5-Shot)	50.39
TruthfulQA (0-shot)	49.63
Winogrande (5-shot)	69.69
GSM8k (5-shot)	0.00