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gimlet
antiven0m/gimlet
gimlet is a text generation model from antiven0m. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
- NurtureAI/neural-chat-7b-v3-16k: Weight - 30% - xDAN-AI/xDAN-L1-Chat-RL-v1: Weight - 30% - rwitz/go-bruins-v2: Weight - 30% - segmed/MedMistral-7B-v0.1: Weight - 10%
All-time downloads
254
Public
Parameters
7.2B
29 GB on disk
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1
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Repo makeup
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.safetensors29 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Dec 30, 2023
- Updated
- Jan 27, 2024
- SHA
- 04a797ce
Try a prompt
Model card
From the Hugging Face model README
Model Composition
NurtureAI/neural-chat-7b-v3-16k: Weight - 30%xDAN-AI/xDAN-L1-Chat-RL-v1: Weight - 30%rwitz/go-bruins-v2: Weight - 30%segmed/MedMistral-7B-v0.1: Weight - 10%
Code Snippet for Model Merging
The following Python code demonstrates how to create this mixed model using the LM-Cocktail approach:
from LM_Cocktail import mix_models_by_layers
model = mix_models_by_layers(
model_names_or_paths=[
"NurtureAI/neural-chat-7b-v3-16k",
"xDAN-AI/xDAN-L1-Chat-RL-v1",
"rwitz/go-bruins-v2",
"segmed/MedMistral-7B-v0.1"
],
model_type='decoder',
weights=[0.3, 0.3, 0.3, 0.1],
output_path='./mixed_llm'
)
license: apache-2.0
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Languages
- en
- Created
- Dec 30, 2023
- Updated
- Jan 27, 2024