Text Generation
PEFT
Safetensors
English
reasoning
grpo
r1-distill
arc-agi
code-generation
math
synthetic-reasoning
conversational
Instructions to use Samrish2009/SAM-AI-Reasoning-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Samrish2009/SAM-AI-Reasoning-v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Samrish2009/SAM-AI-Reasoning-v4") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Samrish2009/SAM-AI-Reasoning-v4: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Samrish2009/SAM-AI-Reasoning-v4/resolve/main/tokenizer.json
- Command line
-
hf download hf://Samrish2009/SAM-AI-Reasoning-v4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Samrish2009/SAM-AI-Reasoning-v4/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1e9e1dbcef420dbdfded58721d0c06d1edfa3339be204def0b132a773f7b72f8
- Size of remote file:
- 11.4 MB
- SHA256:
- 7dd428a75dd3f5fee680bc99c4cc951a78a8699f1493b8a4127c0bac2743389b
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