Sapphira-L3.3-70b-0.2
Storytelling and RP model similar to BruhzWater/Sapphira-L3.3-70b-0.1, but a little spicier.
I prefer the prose of this one over the original. It has a bit more of BruhzWater/Serpents-Tongue-L3.3-70b-0.3, which consists of:
- TheDrummer/Anubis-70B-v1.1
- TheDrummer/Fallen-Llama-3.3-70B-v1
- Sao10K/L3.1-70B-Hanami-x1
- Sao10K/70B-L3.3-mhnnn-x1
- Ppoyaa/MythoNemo-L3.1-70B-v1.0
- BruhzWater/Eden-L3.3-70b-0.3
Static quants: https://huggingface.co/mradermacher/Sapphira-L3.3-70b-0.2-GGUF
iMatrix quants: https://huggingface.co/mradermacher/Sapphira-L3.3-70b-0.2-i1-GGUF
Chat Template:
Llama3
Instruction Template:
Deep Cogito
Llama3
Sampler Settings
Starter:
Temp: 1
Min_P: 0.02
Top_P: 1
Experimental 1:
Temp: .95 - 1.1
Min_P: .015 - .03
Top_P: .97 - 1
XTC_Threshold: .11
XTC_Probability: .15
Experimental 2:
Temp: .95 - 1.1
Min_P: .015 - .03
Top_P: 1
Typical_P: .99
XTC_Threshold: .11
XTC_Probability: .15
Merge Method
This model was merged using the Multi-SLERP merge method using deepcogito/cogito-v2-preview-llama-70B.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: /workspace/cache/models--BruhzWater--Apocrypha-L3.3-70b-0.3/snapshots/3facb4c0a7b953ff34a5caa90976830bf82a84c2
parameters:
weight: [0.5]
- model: /workspace/cache/models--BruhzWater--Serpents-Tongue-L3.3-70b-0.3/snapshots/d007a7bcc7047d712abb2dfb6ad940fe03cd2047
parameters:
weight: [0.7]
base_model: /workspace/cache/models--deepcogito--cogito-v2-preview-llama-70B/snapshots/1e1d12e8eaebd6084a8dcf45ecdeaa2f4b8879ce
merge_method: multislerp
tokenizer:
source: base
chat_template: llama3
parameters:
normalize_weights: false
eps: 1e-8
pad_to_multiple_of: 8
int8_mask: true
dtype: bfloat16