---
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 <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> 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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/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](https://huggingface.co./bartowski/Fimbulvetr-Kuro-Lotus-10.7B-GGUF/blob/main/Fimbulvetr-Kuro-Lotus-10.7B-Q2_K.gguf) | Q2_K | 4.00GB | Extremely low quality, *not* recommended.

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