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RichardErkhov/
Azazelle_-_smol_bruin-7b-gguf

Name: Azazelle_-_smol_bruin-7b-gguf
Availability: InStock

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gguf

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smol_bruin-7b - GGUF

Model creator: https://huggingface.co/Azazelle/
Original model: https://huggingface.co/Azazelle/smol_bruin-7b/

Name	Quant method	Size
smol_bruin-7b.Q2_K.gguf	Q2_K	2.53GB
smol_bruin-7b.IQ3_XS.gguf	IQ3_XS	2.81GB
smol_bruin-7b.IQ3_S.gguf	IQ3_S	2.96GB
smol_bruin-7b.Q3_K_S.gguf	Q3_K_S	2.95GB
smol_bruin-7b.IQ3_M.gguf	IQ3_M	3.06GB
smol_bruin-7b.Q3_K.gguf	Q3_K	3.28GB
smol_bruin-7b.Q3_K_M.gguf	Q3_K_M	3.28GB
smol_bruin-7b.Q3_K_L.gguf	Q3_K_L	3.56GB
smol_bruin-7b.IQ4_XS.gguf	IQ4_XS	3.67GB
smol_bruin-7b.Q4_0.gguf	Q4_0	3.83GB
smol_bruin-7b.IQ4_NL.gguf	IQ4_NL	3.87GB
smol_bruin-7b.Q4_K_S.gguf	Q4_K_S	3.86GB
smol_bruin-7b.Q4_K.gguf	Q4_K	4.07GB
smol_bruin-7b.Q4_K_M.gguf	Q4_K_M	4.07GB
smol_bruin-7b.Q4_1.gguf	Q4_1	4.24GB
smol_bruin-7b.Q5_0.gguf	Q5_0	4.65GB
smol_bruin-7b.Q5_K_S.gguf	Q5_K_S	4.65GB
smol_bruin-7b.Q5_K.gguf	Q5_K	4.78GB
smol_bruin-7b.Q5_K_M.gguf	Q5_K_M	4.78GB
smol_bruin-7b.Q5_1.gguf	Q5_1	5.07GB
smol_bruin-7b.Q6_K.gguf	Q6_K	5.53GB
smol_bruin-7b.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-4.0 tags:

mistral
merge pipeline_tag: text-generation model-index:
name: smol_bruin-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: 67.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-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: 86.48 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-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: 65.05 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-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: 55.65 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-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: 81.14 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-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: 70.43 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b name: Open LLM Leaderboard

Model Card for smol_bruin-7b

Slerp merge of go-bruins-v2 and smol-7b.

.yaml file for mergekit

.yaml:

slices:
  - sources:
      - model: rwitz/go-bruins-v2
        layer_range: [0, 32]
      - model: rishiraj/smol-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
  t:
    - filter: self_attn
      value: [0.44, 0.72, 0.61, 0.83, 1]
    - filter: mlp
      value: [0.56, 0.28, 0.39, 0.17, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.05
AI2 Reasoning Challenge (25-Shot)	67.58
HellaSwag (10-Shot)	86.48
MMLU (5-Shot)	65.05
TruthfulQA (0-shot)	55.65
Winogrande (5-shot)	81.14
GSM8k (5-shot)	70.43

RichardErkhov/Azazelle_-_smol_bruin-7b-gguf

Original model description:

Model Card for smol_bruin-7b

Open LLM Leaderboard Evaluation Results

RichardErkhov/
Azazelle_-_smol_bruin-7b-gguf