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

DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit requires approximately 41 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 DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit and how large is it?

DeepSeek R1 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 DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit?

DeepSeek R1 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.

DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit by unsloth — VRAM 41GB, 128K context

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

DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 70b LLM, VRAM: 41GB, Context: 128K, License: llama3.3, Quantized, LLM Explorer Score: 0.16.

Arxiv:2501.12948 4-bit 4bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Bitsandbytes Conversational Deepseek En Endpoints compatible Llama Llama-3 Meta Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-unsloth-bnb-4bit

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

LLM Name	DeepSeek R1 Distill Llama 70B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-unsloth-bnb-4bit
Base Model(s)	DeepSeek R1 Distill Llama 70B deepseek-ai/DeepSeek-R1-Distill-Llama-70B
Model Size	70b
Required VRAM	41 GB
Updated	2026-08-06
Maintainer	unsloth
Model Type	llama
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 4.1 GB: 8-of-9 2.1 GB: 9-of-9
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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