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schonsense/Bragi_v2_70B
Bragi_v2_70B is a text generation model from schonsense. Use it when you need the model to write or continue text. It is set up for transformers.
Better slop handling at the expense of less standard format output.
Downloads · 30 days
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From the Hugging Face model README
Better slop handling at the expense of less standard format output.
Look to the Loki v2 repo for prompts and samplers, they transfer well.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: CrucibleLab/L3.3-70B-Loki-V2.0
- model: schonsense/Tropoplectic
merge_method: slerp
base_model: schonsense/Tropoplectic
parameters:
t:
- filter: q_proj
value: [0.3, 0.30, 0.30, 0.30, 0.8]
- filter: k_proj
value: [0.2, 0.20, 0.20, 0.20, 0.7]
- filter: v_proj
value: [0.4, 0.40, 0.40, 0.40, 0.8]
- filter: o_proj
value: [0.5, 0.75, 0.75, 0.75, 0.9]
- filter: gate_proj
value: [0.20, 0.20, 0.20, 0.20, 0.8]
- filter: up_proj
value: [0.30, 0.30, 0.30, 0.30, 0.8]
- filter: down_proj
value: [0.50, 0.75, 0.75, 0.75, 0.9]
- filter: lm_head
value: 0.5
- value: 0
normalize: false
int8_mask: false
rescale: false
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: union
pad_to_multiple_of: 8
