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RichardErkhov/paraschopra_-_llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes277downloads
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Quantization made by Richard Erkhov.

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llama-31-8b-instruct-regenerated-100-cot-no-system-promptMERGEDSLERP - GGUF

  • —Model creator: https://huggingface.co/paraschopra/
  • —Original model: https://huggingface.co/paraschopra/llama-31-8b-instruct-regenerated-100-cot-no-system-promptMERGEDSLERP/
NameQuant methodSize
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q2_K.ggufQ2_K2.96GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.IQ3_XS.ggufIQ3_XS3.28GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.IQ3_S.ggufIQ3_S3.43GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q3_K_S.ggufQ3KS3.41GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.IQ3_M.ggufIQ3_M3.52GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q3_K.ggufQ3_K3.74GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q3_K_M.ggufQ3KM3.74GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q3_K_L.ggufQ3KL4.03GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.IQ4_XS.ggufIQ4_XS4.18GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q4_0.ggufQ4_04.34GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.IQ4_NL.ggufIQ4_NL4.38GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q4_K_S.ggufQ4KS4.37GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q4_K.ggufQ4_K4.58GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q4_K_M.ggufQ4KM4.58GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q4_1.ggufQ4_14.78GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q5_0.ggufQ5_05.21GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q5_K_S.ggufQ5KS5.21GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q5_K.ggufQ5_K5.34GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q5_K_M.ggufQ5KM5.34GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q5_1.ggufQ5_15.65GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q6_K.ggufQ6_K6.14GB
llama-31-8b-instruct-regenerated-100-cot-no-system-prompt_MERGED_SLERP.Q8_0.ggufQ8_07.95GB

Original model description: --- base_model:

  • —paraschopra/llama-31-8b-instruct-regenerated-100-cot-no-system-prompt
  • —meta-llama/meta-llama-3.1-8b-instruct library_name: transformers tags:
  • —mergekit
  • —merge

merge

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml
slices:
  - sources:
      - model: paraschopra/llama-31-8b-instruct-regenerated-100-cot-no-system-prompt
        layer_range: [0, 32]
      - model: meta-llama/meta-llama-3.1-8b-instruct
        layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/meta-llama-3.1-8b-instruct
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
tokenizer_source: meta-llama/meta-llama-3.1-8b-instruct