FMixIA-FrankenMerge-9.5B-PT-9

1
1
9.5B
license:apache-2.0
by
Ro-xe
Other
OTHER
9.5B params
New
1 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
22GB+ RAM
Mobile
Laptop
Server
Quick Summary

This model is licensed under the Apache 2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
9GB+ RAM

Code Examples

Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9")

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