base_model, library_name, tags
| base_model | library_name | tags | |||||
|---|---|---|---|---|---|---|---|
|
transformers |
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THIS IS A WIP. MANAGE YOUR EXPECTATIONS.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
An experimental merge of the legendary L3-8B-Stheno with Fizzarolli's Rosier. The aim is to improve Stheno's "ball-rolling" capabilities and reduce its awkwardness with more niche content. For a first go, I'm surprised at how well it's doing so far, but given that this is literally my first LLM project ever, probably temper your expectations.
Since R2: Changed to task-arithmetic.
Merge Method
This model was merged using the task arithmetic merge method using NousResearch/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
weight: 0.5
- model: Fizzarolli/L3-8b-Rosier-v1
parameters:
weight: 0.5
merge_method: task_arithmetic
base_model: NousResearch/Meta-Llama-3-8B
parameters:
normalize: true
dtype: float16