What are the hardware requirements for R1 1776 Distill Llama 70B Unsloth Bnb 4bit?

R1 1776 Distill Llama 70B Unsloth Bnb 4bit requires approximately 42.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed R1 1776 Distill Llama 70B Unsloth Bnb 4bit and how large is it?

R1 1776 Distill Llama 70B Unsloth Bnb 4bit is developed by unsloth, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate R1 1776 Distill Llama 70B Unsloth Bnb 4bit?

R1 1776 Distill Llama 70B Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

R1 1776 Distill Llama 70B Unsloth Bnb 4bit by unsloth — VRAM 42.2GB, 128K context

Name: R1 1776 Distill Llama 70B Unsloth Bnb 4bit
Author: unsloth

R1 1776 Distill Llama 70B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 70b LLM, VRAM: 42.2GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.17.

Arxiv:2501.12948 4-bit 4bit Base model:perplexity-ai/r1-17... Base model:quantized:perplexit... Bitsandbytes Conversational Deepseek Deepseek v3 En Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/r1-1776-distill-llama-70b-unsloth-bnb-4bit

R1 1776 Distill Llama 70B Unsloth Bnb 4bit Parameters and Internals

LLM Name	R1 1776 Distill Llama 70B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/r1-1776-distill-llama-70b-unsloth-bnb-4bit
Base Model(s)	R1 1776 Distill Llama 70B perplexity-ai/r1-1776-distill-llama-70b
Model Size	70b
Required VRAM	42.2 GB
Updated	2026-07-25
Maintainer	unsloth
Model Type	llama
Model Files	4.8 GB: 1-of-9 5.0 GB: 2-of-9 4.9 GB: 3-of-9 5.0 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 5.0 GB: 8-of-9 2.5 GB: 9-of-9
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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