Text Generation
Transformers
Safetensors
llama
Merge
mergekit
lazymergekit
sethuiyer/Dr_Samantha-7b
georgesung/llama2_7b_chat_uncensored
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("mkay8/mkmodel")
model = AutoModelForCausalLM.from_pretrained("mkay8/mkmodel")Quick Links
mkmodel
mkmodel is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: sethuiyer/Dr_Samantha-7b
layer_range: [0, 32]
- model: georgesung/llama2_7b_chat_uncensored
layer_range: [0, 32]
merge_method: slerp
base_model: sethuiyer/Dr_Samantha-7b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mkay8/mkmodel")