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L3-8B-Lunaris-v1-heretic
Pranavz/L3-8B-Lunaris-v1-heretic
L3-8B-Lunaris-v1-heretic is a machine learning model from Pranavz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
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At a glance
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- May 7, 2026
- Updated
- May 7, 2026
- SHA
- 09166adf
Model card
From the Hugging Face model README
This is a decensored version of Sao10K/L3-8B-Lunaris-v1, made using Heretic v1.2.0
Abliteration parameters
| Parameter | Value |
|---|---|
| direction_index | per layer |
| attn.o_proj.max_weight | 3.75 |
| attn.o_proj.max_weight_position | 21.07 |
| attn.o_proj.min_weight | 3.06 |
| attn.o_proj.min_weight_distance | 6.64 |
| mlp.down_proj.max_weight | 2.66 |
| mlp.down_proj.max_weight_position | 11.60 |
| mlp.down_proj.min_weight | 3.73 |
| mlp.down_proj.min_weight_distance | 20.44 |
Performance
| Metric | This model | Original model (Sao10K/L3-8B-Lunaris-v1) |
|---|---|---|
| KL divergence | 1.0602 | 0 (by definition) |
| Refusals | 2/100 | 96/100 |
A generalist / roleplaying model merge based on Llama 3. Models are selected from my personal experience while using them.
I personally think this is an improvement over Stheno v3.2, considering the other models helped balance out its creativity and at the same time improving its logic.
Settings:
Instruct // Context Template: Llama-3-Instruct
Temperature: 1.4
min_p: 0.1
Merging seems to be a black box magic though? In my personal experience merging multiple models from different datasets / data works better than combining them all in one.
Values chosen are from long-running personal experimentation since Llama-2 Merging Era. I have tweaked them to fit this recipe.
Mergekit Config
models:
- model: meta-llama/Meta-Llama-3-8B-Instruct
- model: crestf411/L3-8B-sunfall-v0.1 # Another RP Model trained on... stuff
parameters:
density: 0.4
weight: 0.25
- model: Hastagaras/Jamet-8B-L3-MK1 - # Another RP / Storytelling Model
parameters:
density: 0.5
weight: 0.3
- model: maldv/badger-iota-llama-3-8b #Megamerge - Helps with General Knowledge
parameters:
density: 0.6
weight: 0.35
- model: Sao10K/Stheno-3.2-Beta # This is Stheno v3.2's Initial Name
parameters:
density: 0.7
weight: 0.4
merge_method: ties
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
int8_mask: true
rescale: true
normalize: false
dtype: bfloat16
- Type
- llama
- License
- llama3
- Languages
- en
- Created
- May 7, 2026
- Updated
- May 7, 2026