README.md

metadata

license: cc-by-nc-4.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Sao10K/Fimbulvetr-10.7B-v1
  - saishf/Kuro-Lotus-10.7B
model-index:
  - name: Fimbulvetr-Kuro-Lotus-10.7B
    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: 69.54
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          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: 87.87
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          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: 66.99
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          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: 60.95
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          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: 84.14
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          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: 66.87
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fimbulvetr-Kuro-Lotus-10.7B
          name: Open LLM Leaderboard
quantized_by: bartowski
pipeline_tag: text-generation

Llamacpp Quantizations of Fimbulvetr-Kuro-Lotus-10.7B

Using llama.cpp release b2440 for quantization.

Original model: https://huggingface.co/saishf/Fimbulvetr-Kuro-Lotus-10.7B

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Description
Fimbulvetr-Kuro-Lotus-10.7B-Q8_0.gguf	Q8_0	11.40GB	Extremely high quality, generally unneeded but max available quant.
Fimbulvetr-Kuro-Lotus-10.7B-Q6_K.gguf	Q6_K	8.80GB	Very high quality, near perfect, recommended.
Fimbulvetr-Kuro-Lotus-10.7B-Q5_K_M.gguf	Q5_K_M	7.59GB	High quality, very usable.
Fimbulvetr-Kuro-Lotus-10.7B-Q5_K_S.gguf	Q5_K_S	7.39GB	High quality, very usable.
Fimbulvetr-Kuro-Lotus-10.7B-Q5_0.gguf	Q5_0	7.39GB	High quality, older format, generally not recommended.
Fimbulvetr-Kuro-Lotus-10.7B-Q4_K_M.gguf	Q4_K_M	6.46GB	Good quality, similar to 4.25 bpw.
Fimbulvetr-Kuro-Lotus-10.7B-Q4_K_S.gguf	Q4_K_S	6.11GB	Slightly lower quality with small space savings.
Fimbulvetr-Kuro-Lotus-10.7B-Q4_0.gguf	Q4_0	6.07GB	Decent quality, older format, generally not recommended.
Fimbulvetr-Kuro-Lotus-10.7B-Q3_K_L.gguf	Q3_K_L	5.65GB	Lower quality but usable, good for low RAM availability.
Fimbulvetr-Kuro-Lotus-10.7B-Q3_K_M.gguf	Q3_K_M	5.19GB	Even lower quality.
Fimbulvetr-Kuro-Lotus-10.7B-Q3_K_S.gguf	Q3_K_S	4.66GB	Low quality, not recommended.
Fimbulvetr-Kuro-Lotus-10.7B-Q2_K.gguf	Q2_K	4.00GB	Extremely low quality, not recommended.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski