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RichardErkhov/
MSL7_-_INEX8-7B-gguf

Name: MSL7_-_INEX8-7B-gguf
Availability: InStock

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gguf

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INEX8-7B - GGUF

Model creator: https://huggingface.co/MSL7/
Original model: https://huggingface.co/MSL7/INEX8-7B/

Name	Quant method	Size
INEX8-7B.Q2_K.gguf	Q2_K	2.53GB
INEX8-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
INEX8-7B.IQ3_S.gguf	IQ3_S	2.96GB
INEX8-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
INEX8-7B.IQ3_M.gguf	IQ3_M	3.06GB
INEX8-7B.Q3_K.gguf	Q3_K	3.28GB
INEX8-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
INEX8-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
INEX8-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
INEX8-7B.Q4_0.gguf	Q4_0	3.83GB
INEX8-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
INEX8-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
INEX8-7B.Q4_K.gguf	Q4_K	4.07GB
INEX8-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
INEX8-7B.Q4_1.gguf	Q4_1	4.24GB
INEX8-7B.Q5_0.gguf	Q5_0	4.65GB
INEX8-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
INEX8-7B.Q5_K.gguf	Q5_K	4.78GB
INEX8-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
INEX8-7B.Q5_1.gguf	Q5_1	5.07GB
INEX8-7B.Q6_K.gguf	Q6_K	5.53GB
INEX8-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit
lazymergekit
liminerity/merge3
yam-peleg/Experiment26-7B model-index:
name: INEX8-7B 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: 73.29 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B 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: 89.19 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B 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: 64.47 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B 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: 77.83 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B 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: 84.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B 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: 68.99 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B name: Open LLM Leaderboard

MADE WITH LOVE BY LIMINERITY

INEX8-7B

INEX8-7B is a merge of the following models using mergekit:

🧩 Configuration

yaml

MODEL_NAME = "merge"
slices:
  - sources:
      - model: MSL7/INEX4-7b
        layer_range: [0, 32]
      - model: yam-peleg/Experiment24-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: MSL7/INEX4-7b
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

MODEL_NAME = "merge1"
slices:
  - sources:
      - model: liminerity/merge
        layer_range: [0, 32]
      - model: CorticalStack/shadow-clown-7B-dare
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge
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

MODEL_NAME = "merge2"
slices:
  - sources:
      - model: liminerity/merge1
        layer_range: [0, 32]
      - model: bardsai/jaskier-7b-dpo-v6.1
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge1
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

MODEL_NAME = "merge3"
slices:
  - sources:
      - model: liminerity/merge2
        layer_range: [0, 32]
      - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge2
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


MODEL_NAME: "INEX8-7b"
slices:
  - sources:
      - model: liminerity/merge3
        layer_range: [0, 32]
      - model: yam-peleg/Experiment26-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge3
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.	76.44
AI2 Reasoning Challenge (25-Shot)	73.29
HellaSwag (10-Shot)	89.19
MMLU (5-Shot)	64.47
TruthfulQA (0-shot)	77.83
Winogrande (5-shot)	84.85
GSM8k (5-shot)	68.99

RichardErkhov/MSL7_-_INEX8-7B-gguf

Original model description:

INEX8-7B

🧩 Configuration

Open LLM Leaderboard Evaluation Results

RichardErkhov/
MSL7_-_INEX8-7B-gguf