Sloppy-Wingman-8x7B-GGUF

Model Card for Mixtral-Instruct-ITR-8x7B-GGUF

• Model creator: rAIfle
• Original model: Sloppy-Wingman-8x7B-hf

Sloppy-Wingman-8x7B-GGUF

Quantized from fp16 with love.

Uploading Q5_K_M for starters, other sizes available upon request.

Update: Q8_0 now uploaded per request. Shooting to have imatrix.dat file and some IQ quantizations in the coming days as a convenience for users with less VRAM available.

See original model card details below.

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Sloppy-Wingman-8x7B-hf

Big slop, good model. Running better at slightly higher temp (1.1-ish) than usual, along with 0.05 MinP and 0.28 snoot. Bog-standard ChatML works best imo, but Alpaca and Mixtral formats work (to some degree) too.

Parts:

models:
  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
    parameters:
      weight: 0.33
  - model: mistralai/Mixtral-8x7B-v0.1+wandb/Mixtral-8x7b-Remixtral
    parameters:
      weight: 0.33
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-v0.1
dtype: float16

and

models:
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
    parameters:
      weight: 0.85
  - model: notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES
    parameters:
      weight: 0.25
  - model: ycros/BagelWorldTour-8x7B
    parameters:
      weight: 0.1
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
dtype: float16

SLERP:ed together as per below.

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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:

• ./02-friend2-instruct
• ./01-friend2-base

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ./01-friend2-base
  - model: ./02-friend2-instruct
merge_method: slerp
base_model: ./01-friend2-base
parameters:
  t:
    - value: 0.5
dtype: float16

models:
  - model: ./temp-output-base
  - model: ./temp-output-instruct
merge_method: slerp
base_model: ./temp-output-base
parameters:
  t:
    - value: 0.5
dtype: float16