Nexuim-R1-7B-Instruct

9
7.0B
5 languages
license:apache-2.0
by
streamerbtw1002
Language Model
OTHER
7B params
New
9 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

Developed by: James Phifer (NexusMind.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)
Evaluationpythontransformers
from transformers import AutoConfig, AutoModel, AutoTokenizer

model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"

config = AutoConfig.from_pretrained(
  model_id,
  revision="main"
)
model = AutoModel.from_pretrained(
  model_id,
  revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
  model_id,
  revision="main"
)

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