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UMSR-Reasoner-7B-INT8
NorthernTribe-Research/UMSR-Reasoner-7B-INT8
UMSR-Reasoner-7B-INT8 is a machine learning model from NorthernTribe-Research. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
8-bit bitsandbytes runtime quantization profile.
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Public
Updated Feb 23, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- 2a204f98
Base models
Model card
From the Hugging Face model README
UMSR-Reasoner-7B (INT8)
8-bit bitsandbytes runtime quantization profile.
Model Tree
- Source model:
https://huggingface.co/NorthernTribe-Research/UMSR-Reasoner-7B - Variant repo:
https://huggingface.co/NorthernTribe-Research/UMSR-Reasoner-7B-INT8 - Dataset:
https://huggingface.co/datasets/NorthernTribe-Research/UMSR-v1
Quantization Profile
- Variant:
int8 - Scheme:
bitsandbytes int8 - Materialized weights in this repo:
False
Usage
This variant repository is a profile card. Load weights from the source model id.
from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
model_id = "NorthernTribe-Research/UMSR-Reasoner-7B"
bnb_config = BitsAndBytesConfig(load_in_8bit=True)
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
quantization_config=bnb_config,
)
Output Contract
<final_answer>...</final_answer>
- Library
- transformers
- Languages
- en
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026