Semi-Healed Llama-3 15B. Programming, Scientific Q&A, General Instruct

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Llama-3-Instruct-15B-SPPO-Iter3-SH-F32

Fully functional upscaled version of Llama-3-Instruct-8B-SPPO-Iter3 to 15B parameters with projection swap.

Self-Play Preference Optimization for Language Model Alignment (https://arxiv.org/abs/2405.00675)

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Quants

• GGUF Q5_K_M

merge

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

Merge Details

Merge Method

This model was merged using the Passthrough and SLERP merge method.

Models Merged

The following models were included in the merge:

• UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
• ZeusLabs/L3-Aethora-15B-V2
• grimjim/Llama-3-Instruct-abliteration-LoRA-8B

Configuration

The following YAML configuration was used to produce this model:

#1.

dtype: float32
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 24]
    model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- sources:
  - layer_range: [8, 24]
    model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
    parameters:
- sources:
  - layer_range: [8, 24]
    model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- sources:
  - layer_range: [24, 32]
    model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B

#2.

models:
  - model: ./Llama-3-Instruct-15B-SPPO-Iter3
merge_method: slerp
base_model: ZeusLabs/L3-Aethora-15B-V2
parameters:
  t:
    - filter: o_proj
      value: 0 #take finetuned from Aethora
    - filter: down_proj
      value: 0 #take finetuned from Aethora
    - value: 1 #rest of tensors SPPO
dtype: float32

uncensored=no

Prompt Template(Llama-3-Instruct)

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{output}<|eot_id|>