Text Generation
Transformers
Safetensors
English
gpt2
reasoning
structured-output
instruction-following
math
logic
science
text-generation-inference
Instructions to use NorthernTribe-Research/UMSR-Reasoner-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NorthernTribe-Research/UMSR-Reasoner-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NorthernTribe-Research/UMSR-Reasoner-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NorthernTribe-Research/UMSR-Reasoner-7B") model = AutoModelForCausalLM.from_pretrained("NorthernTribe-Research/UMSR-Reasoner-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use NorthernTribe-Research/UMSR-Reasoner-7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NorthernTribe-Research/UMSR-Reasoner-7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NorthernTribe-Research/UMSR-Reasoner-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NorthernTribe-Research/UMSR-Reasoner-7B
- SGLang
How to use NorthernTribe-Research/UMSR-Reasoner-7B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "NorthernTribe-Research/UMSR-Reasoner-7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NorthernTribe-Research/UMSR-Reasoner-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "NorthernTribe-Research/UMSR-Reasoner-7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NorthernTribe-Research/UMSR-Reasoner-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NorthernTribe-Research/UMSR-Reasoner-7B with Docker Model Runner:
docker model run hf.co/NorthernTribe-Research/UMSR-Reasoner-7B
Autonomous Space trainer update
Browse files- effective_run_config.json +5 -5
- live_events.jsonl +0 -0
- live_progress.json +3 -3
- metrics/eval_metrics.json +3 -3
- metrics/train_metrics.json +3 -3
- run_summary.json +7 -7
- system_snapshot.json +2 -2
- trainer_state.json +36 -36
- training_args.bin +1 -1
effective_run_config.json
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{
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"ce_weight_end": 0.5,
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"ce_weight_start": 0.35,
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"created_at": "2026-
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"dataset_id": "NorthernTribe-Research/UMSR-v1",
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"model_dtype": "bfloat16",
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"native_strict_mode": false,
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"output_dir": "/app/runs/
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"required_bins": [
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"git": "/usr/bin/git",
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},
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"cpu_count": 16,
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"save_total_limit": 4,
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"student_model": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"system_snapshot_path": "/app/runs/
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"target_repo_id": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"teacher_dtype": "bfloat16",
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"teacher_models": [
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"ce_weight_end": 0.5,
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"created_at": "2026-05-23T06:11:51.769931+00:00",
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"dataset_id": "NorthernTribe-Research/UMSR-v1",
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"distill_enabled": true,
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"enforce_inhouse_models": true,
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"model_dtype": "bfloat16",
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"native_strict_mode": false,
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"native_trainer_mode": true,
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"output_dir": "/app/runs/20260523_061124",
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"required_bins": [
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"bash",
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"python3",
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"git": "/usr/bin/git",
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"python3": "/usr/local/bin/python3"
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},
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"collected_at": "2026-05-23T06:11:39.136659+00:00",
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"cpu_count": 16,
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"disk_free_gb": 326.3,
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"disk_total_gb": 1699.93,
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"in_venv": false,
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"is_ubuntu": false,
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"save_total_limit": 4,
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"student_model": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"system_snapshot_path": "/app/runs/20260523_061124/system_snapshot.json",
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"target_repo_id": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"teacher_dtype": "bfloat16",
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"teacher_models": [
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live_events.jsonl
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live_progress.json
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"git": "/usr/bin/git",
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"git": "/usr/bin/git",
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"updated_at": "2026-05-23T06:27:43.871485+00:00"
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metrics/eval_metrics.json
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{
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"eval_loss": 5.438441753387451,
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metrics/train_metrics.json
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"temperature_start": 2.5,
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"total_flos": 42322071132.0,
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"train_loss": 4.595640664920211,
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"temperature_start": 2.5,
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"total_flos": 42322071132.0,
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"train_runtime": 903.6367,
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"train_samples": 256,
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"train_samples_per_second": 0.283,
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"train_steps_per_second": 0.283
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}
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run_summary.json
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"distill_enabled": true,
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"eval_rows": 64,
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"fp16": false,
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"kd_weight_end": 0.5,
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"kd_weight_start": 0.65,
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"live_events_path": "/app/runs/
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"lora_alpha": 64,
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"system_snapshot_path": "/app/runs/
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"target_repo_id": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"teacher_count": 1,
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"teacher_dtype": "bfloat16",
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"distill_enabled": true,
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"enforce_inhouse_models": true,
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"eval_rows": 64,
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"finished_at": "2026-05-23T06:27:43.870807+00:00",
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"fp16": false,
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"gradient_checkpointing": true,
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"kd_weight_end": 0.5,
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"kd_weight_start": 0.65,
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"live_events_path": "/app/runs/20260523_061124/live_events.jsonl",
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"live_progress_path": "/app/runs/20260523_061124/live_progress.json",
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"lora_enabled": true,
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"mps_available": false,
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"native_strict_mode": false,
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"native_trainer_mode": true,
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"output_dir": "/app/runs/20260523_061124",
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"requested_warmup_steps": 0,
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"required_bins": [
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"bash",
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"git": "/usr/bin/git",
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"python3": "/usr/local/bin/python3"
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},
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"collected_at": "2026-05-23T06:11:39.136659+00:00",
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"cpu_count": 16,
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"disk_free_gb": 326.3,
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"in_venv": false,
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"is_ubuntu": false,
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"system_snapshot_path": "/app/runs/20260523_061124/system_snapshot.json",
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"target_repo_id": "NorthernTribe-Research/UMSR-Reasoner-7B",
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"teacher_count": 1,
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system_snapshot.json
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trainer_state.json
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"distill_temperature": 2.373046875,
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"epoch": 0.09765625,
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{
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"distill_temperature": 2.24609375,
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"epoch": 0.1953125,
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"eval_loss": 4.088868141174316,
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"distill_temperature": 2.119140625,
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"distill_temperature": 1.865234375,
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"epoch": 0.48828125,
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{
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"distill_temperature": 1.484375,
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"distill_temperature": 1.357421875,
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"distill_temperature": 1.23046875,
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training_args.bin
CHANGED
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