What are the hardware requirements for R1 1776 Distill Llama 70B GGUF?

R1 1776 Distill Llama 70B GGUF requires approximately 26.4 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 GGUF and how large is it?

R1 1776 Distill Llama 70B GGUF 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 GGUF?

R1 1776 Distill Llama 70B GGUF 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 GGUF by unsloth — VRAM 26.4GB, 128K context

Name: R1 1776 Distill Llama 70B GGUF
Author: unsloth

R1 1776 Distill Llama 70B GGUF is an open-source language model by unsloth. Features: 70b LLM, VRAM: 26.4GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.19.

Arxiv:2501.12948 Base model:perplexity-ai/r1-17... Base model:quantized:perplexit... Conversational Deepseek Deepseek v3 En Endpoints compatible Gguf Llama Q2 Quantized Region:us Unsloth

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

R1 1776 Distill Llama 70B GGUF Parameters and Internals

LLM Name	R1 1776 Distill Llama 70B GGUF
Repository 🤗	https://huggingface.co/unsloth/r1-1776-distill-llama-70b-GGUF
Base Model(s)	R1 1776 Distill Llama 70B perplexity-ai/r1-1776-distill-llama-70b
Model Size	70b
Required VRAM	26.4 GB
Updated	2026-08-07
Maintainer	unsloth
Model Type	llama
Model Files	26.4 GB 26.6 GB 34.3 GB 42.5 GB 49.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the R1 1776 Distill Llama 70B GGUF capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Grok Oss Revenant 70B	128K / 141.9 GB	8503	2
...Seek R1 Distill Llama 70B GGUF	128K / 15.9 GB	27430	120
Llama 3.3 70B Instruct GGUF	128K / 15.9 GB	23398	124
Reflection Llama 3.1 70B Bf16	128K / 141.9 GB	283	6
Reflection Llama 3.1 70B GGUF	128K / 26.4 GB	115	5
...Horizon AI Korean Advanced 70B	128K / 141.9 GB	30	1
Midnight Miqu 70B V1.0 GGUF	31K / 29.9 GB	398	4
...qu 1 70B 24GB VRAM IQ2 XS SOTA	31K / 20.3 GB	68	1
Llama 3 70B Quantised	8K / 48.7 GB	13	2
...ma3 70B Chinese Chat GGUF 4bit	8K / 40 GB	196	18

Note: green Score (e.g. "73.2") means that the model is better than unsloth/r1-1776-distill-llama-70b-GGUF.