README.md

metadata

license: apache-2.0
tags:
  - moe
  - frankenmoe
  - merge
  - mergekit
  - lazymergekit
  - paulml/OmniBeagleSquaredMBX-v3-7B-v2
  - mlabonne/AlphaMonarch-7B
  - Kukedlc/Neural4gsm8k
  - eren23/dpo-binarized-NeutrixOmnibe-7B
  - TensorBlock
  - GGUF
base_model: jsfs11/MixtureofMerges-MoE-4x7b-v5
model-index:
  - name: MixtureofMerges-MoE-4x7b-v5
    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: 73.89
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          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
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          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: 64.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          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: 73.73
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          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: 85.08
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          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: 69.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v5
          name: Open LLM Leaderboard

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

jsfs11/MixtureofMerges-MoE-4x7b-v5 - GGUF

This repo contains GGUF format model files for jsfs11/MixtureofMerges-MoE-4x7b-v5.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Run them on the TensorBlock client using your local machine ↗

Prompt template

Model file specification

Filename	Quant type	File Size	Description
MixtureofMerges-MoE-4x7b-v5-Q2_K.gguf	Q2_K	8.236 GB	smallest, significant quality loss - not recommended for most purposes
MixtureofMerges-MoE-4x7b-v5-Q3_K_S.gguf	Q3_K_S	9.717 GB	very small, high quality loss
MixtureofMerges-MoE-4x7b-v5-Q3_K_M.gguf	Q3_K_M	10.785 GB	very small, high quality loss
MixtureofMerges-MoE-4x7b-v5-Q3_K_L.gguf	Q3_K_L	11.683 GB	small, substantial quality loss
MixtureofMerges-MoE-4x7b-v5-Q4_0.gguf	Q4_0	12.688 GB	legacy; small, very high quality loss - prefer using Q3_K_M
MixtureofMerges-MoE-4x7b-v5-Q4_K_S.gguf	Q4_K_S	12.799 GB	small, greater quality loss
MixtureofMerges-MoE-4x7b-v5-Q4_K_M.gguf	Q4_K_M	13.607 GB	medium, balanced quality - recommended
MixtureofMerges-MoE-4x7b-v5-Q5_0.gguf	Q5_0	15.485 GB	legacy; medium, balanced quality - prefer using Q4_K_M
MixtureofMerges-MoE-4x7b-v5-Q5_K_S.gguf	Q5_K_S	15.485 GB	large, low quality loss - recommended
MixtureofMerges-MoE-4x7b-v5-Q5_K_M.gguf	Q5_K_M	15.958 GB	large, very low quality loss - recommended
MixtureofMerges-MoE-4x7b-v5-Q6_K.gguf	Q6_K	18.456 GB	very large, extremely low quality loss
MixtureofMerges-MoE-4x7b-v5-Q8_0.gguf	Q8_0	23.904 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/MixtureofMerges-MoE-4x7b-v5-GGUF --include "MixtureofMerges-MoE-4x7b-v5-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/MixtureofMerges-MoE-4x7b-v5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'