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RichardErkhov/
vicgalle_-_CarbonBeagle-11B-gguf

Name: vicgalle_-_CarbonBeagle-11B-gguf
Availability: InStock

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CarbonBeagle-11B - GGUF

Model creator: https://huggingface.co/vicgalle/
Original model: https://huggingface.co/vicgalle/CarbonBeagle-11B/

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

Original model description:

license: apache-2.0 tags:

mergekit
merge base_model:
vicgalle/NeuralBeagle-11B
jeonsworld/CarbonVillain-en-10.7B-v4 model-index:
name: CarbonBeagle-11B 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: 71.84 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-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: 88.93 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-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: 66.62 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-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: 69.43 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-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: 84.06 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-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: 66.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
  - type: inst_level_strict_acc and prompt_level_strict_acc value: 54.15 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
  - type: acc_norm value: 33.06 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
  - type: exact_match value: 5.51 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
  - type: acc_norm value: 6.94 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
  - type: acc_norm value: 9.19 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 25.29 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard

CarbonBeagle-11B

An experiment in merging models of different architectures and sizes. Here are the steps:

Upscale mlabonne/NeuralBeagle14-7B to vicgalle/franken-Beagle-11B.
DPO-tune vicgalle/franken-Beagle-11B to vicgalle/NeuralBeagle-11B.
Merge vicgalle/NeuralBeagle-11B and jeonsworld/CarbonVillain-en-10.7B-v4.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
    - model: jeonsworld/CarbonVillain-en-10.7B-v4
      parameters:
        weight: 1.0
    - model: vicgalle/NeuralBeagle-11B
      parameters:
        weight: 0.5
merge_method: linear

dtype: float16

Evaluations

At the time of its creation (21-01-2024), it is the best model in the Open LLM Leaderboard for its size class (10.7B-11B), and also 13B models:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.64
AI2 Reasoning Challenge (25-Shot)	71.84
HellaSwag (10-Shot)	88.93
MMLU (5-Shot)	66.62
TruthfulQA (0-shot)	69.43
Winogrande (5-shot)	84.06
GSM8k (5-shot)	66.94

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	22.36
IFEval (0-Shot)	54.15
BBH (3-Shot)	33.06
MATH Lvl 5 (4-Shot)	5.51
GPQA (0-shot)	6.94
MuSR (0-shot)	9.19
MMLU-PRO (5-shot)	25.29

RichardErkhov/vicgalle_-_CarbonBeagle-11B-gguf

Original model description:

CarbonBeagle-11B

Merge Details

Merge Method

Models Merged

Configuration

Evaluations

Open LLM Leaderboard Evaluation Results

Open LLM Leaderboard Evaluation Results

RichardErkhov/
vicgalle_-_CarbonBeagle-11B-gguf