Quantization made by Richard Erkhov.

Chunky-Lemon-Cookie-11B - GGUF

Model creator: https://huggingface.co/FallenMerick/
Original model: https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B/

Name	Quant method	Size
Chunky-Lemon-Cookie-11B.Q2_K.gguf	Q2_K	3.73GB
Chunky-Lemon-Cookie-11B.IQ3_XS.gguf	IQ3_XS	4.14GB
Chunky-Lemon-Cookie-11B.IQ3_S.gguf	IQ3_S	4.37GB
Chunky-Lemon-Cookie-11B.Q3_K_S.gguf	Q3_K_S	4.34GB
Chunky-Lemon-Cookie-11B.IQ3_M.gguf	IQ3_M	4.51GB
Chunky-Lemon-Cookie-11B.Q3_K.gguf	Q3_K	4.84GB
Chunky-Lemon-Cookie-11B.Q3_K_M.gguf	Q3_K_M	4.84GB
Chunky-Lemon-Cookie-11B.Q3_K_L.gguf	Q3_K_L	5.26GB
Chunky-Lemon-Cookie-11B.IQ4_XS.gguf	IQ4_XS	5.43GB
Chunky-Lemon-Cookie-11B.Q4_0.gguf	Q4_0	5.66GB
Chunky-Lemon-Cookie-11B.IQ4_NL.gguf	IQ4_NL	5.72GB
Chunky-Lemon-Cookie-11B.Q4_K_S.gguf	Q4_K_S	5.7GB
Chunky-Lemon-Cookie-11B.Q4_K.gguf	Q4_K	6.02GB
Chunky-Lemon-Cookie-11B.Q4_K_M.gguf	Q4_K_M	6.02GB
Chunky-Lemon-Cookie-11B.Q4_1.gguf	Q4_1	6.27GB
Chunky-Lemon-Cookie-11B.Q5_0.gguf	Q5_0	6.89GB
Chunky-Lemon-Cookie-11B.Q5_K_S.gguf	Q5_K_S	6.89GB
Chunky-Lemon-Cookie-11B.Q5_K.gguf	Q5_K	7.08GB
Chunky-Lemon-Cookie-11B.Q5_K_M.gguf	Q5_K_M	7.08GB
Chunky-Lemon-Cookie-11B.Q5_1.gguf	Q5_1	7.51GB
Chunky-Lemon-Cookie-11B.Q6_K.gguf	Q6_K	8.2GB
Chunky-Lemon-Cookie-11B.Q8_0.gguf	Q8_0	10.62GB

Original model description:

license: cc-by-4.0 language: - en base_model: - mistralai/Mistral-7B-v0.1 - SanjiWatsuki/Kunoichi-7B - SanjiWatsuki/Silicon-Maid-7B - KatyTheCutie/LemonadeRP-4.5.3 - Sao10K/Fimbulvetr-11B-v2 library_name: transformers tags: - mergekit - merge - mistral - text-generation - roleplay model-index: - name: Smart-Lemon-Cookie-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: 69.62 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B 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: 86.55 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B 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: 65.35 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B 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: 61.59 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B 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: 79.79 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B 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: 58.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B name: Open LLM Leaderboard

Chunky-Lemon-Cookie-11B

This is a merge of pre-trained language models created using mergekit.

GGUF quants:

Merge Details

Merge Method

This model was merged using the following methods:

passthrough
task arithmetic

Models Merged

The following models were included in the merge:

Configuration

The following YAML configurations were used to produce this model:

slices:
  - sources:
    - model: mistralai/Mistral-7B-v0.1
      layer_range: [0, 24]
  - sources:
    - model: mistralai/Mistral-7B-v0.1
      layer_range: [8, 32]
merge_method: passthrough
dtype: float16
name: Mistral-11B

---

slices:
  - sources:
    - model: SanjiWatsuki/Kunoichi-7B
      layer_range: [0, 24]
  - sources:
    - model: SanjiWatsuki/Silicon-Maid-7B
      layer_range: [8, 24]
  - sources:
    - model: KatyTheCutie/LemonadeRP-4.5.3
      layer_range: [24, 32]
merge_method: passthrough
dtype: float16
name: Big-Lemon-Cookie-11B

---

models:
  - model: Big-Lemon-Cookie-11B
    parameters:
      weight: 0.85
  - model: Sao10K/Fimbulvetr-11B-v2
    parameters:
      weight: 0.15
merge_method: task_arithmetic
base_model: Mistral-11B
dtype: float16
name: Chunky-Lemon-Cookie-11B

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.23
AI2 Reasoning Challenge (25-Shot)	69.62
HellaSwag (10-Shot)	86.55
MMLU (5-Shot)	65.35
TruthfulQA (0-shot)	61.59
Winogrande (5-shot)	79.79
GSM8k (5-shot)	58.45