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
File size: 473 Bytes
67a976f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<|begin▁of▁sentence|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end▁of▁sentence|>",
"is_local": false,
"legacy": true,
"local_files_only": false,
"model_max_length": 131072,
"pad_token": "<|vision_pad|>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null,
"use_default_system_prompt": false
}
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