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RichardErkhov/
Praneeth_-_StarMix-7B-slerp-gguf

Name: Praneeth_-_StarMix-7B-slerp-gguf
Availability: InStock

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StarMix-7B-slerp - GGUF

Model creator: https://huggingface.co/Praneeth/
Original model: https://huggingface.co/Praneeth/StarMix-7B-slerp/

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

Original model description:

license: apache-2.0 tags:

merge
mergekit
lazymergekit
berkeley-nest/Starling-LM-7B-alpha
mistralai/Mistral-7B-Instruct-v0.2 base_model:
berkeley-nest/Starling-LM-7B-alpha
mistralai/Mistral-7B-Instruct-v0.2 model-index:
name: StarMix-7B-slerp 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: 65.36 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp 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: 85.1 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp 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: 62.57 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp 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: 57.81 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp 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: 79.95 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp 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: 53.68 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp name: Open LLM Leaderboard

StarMix-7B-slerp

StarMix-7B-slerp is a merge of the following models using mergekit:

🧩 Configuration

yaml

slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.41
AI2 Reasoning Challenge (25-Shot)	65.36
HellaSwag (10-Shot)	85.10
MMLU (5-Shot)	62.57
TruthfulQA (0-shot)	57.81
Winogrande (5-shot)	79.95
GSM8k (5-shot)	53.68

RichardErkhov/Praneeth_-_StarMix-7B-slerp-gguf

Original model description:

StarMix-7B-slerp

🧩 Configuration

Open LLM Leaderboard Evaluation Results

RichardErkhov/
Praneeth_-_StarMix-7B-slerp-gguf