What are the hardware requirements for Reflection Llama 3.1 70B GGUF?

Reflection Llama 3.1 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 Reflection Llama 3.1 70B GGUF and how large is it?

Reflection Llama 3.1 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 Reflection Llama 3.1 70B GGUF?

Reflection Llama 3.1 70B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Reflection Llama 3.1 70B GGUF by unsloth — VRAM 26.4GB, 128K context

Name: Reflection Llama 3.1 70B GGUF
Author: unsloth

Reflection Llama 3.1 70B GGUF is an open-source language model by unsloth. Features: 70b LLM, VRAM: 26.4GB, Context: 128K, License: llama3.1, Quantized, LLM Explorer Score: 0.14.

Base model:mattshumer/ref 70 e... Base model:quantized:mattshume... Conversational Endpoints compatible Gguf Llama Llama-3 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Reflection-Llama-3.1-70B-GGUF

Reflection Llama 3.1 70B GGUF Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Additional Notes

You can fine-tune Reflection-3.1 70B with 48GB of VRAM with Unsloth! Reflection 70B uses a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct course.

Training Details

Methodology:

Reflection-Tuning

Model Architecture:

Llama 3.1 70B Instruct

Input Output

Input Format:

uses the standard Llama 3.1 chat format

Accepted Modalities:

text

Output Format:

standard Llama 3.1 chat format with reasoning and final answer separation

Performance Tips:

For increased accuracy, append 'Think carefully.' at the end of your messages.

LLM Name	Reflection Llama 3.1 70B GGUF
Repository 🤗	https://huggingface.co/unsloth/Reflection-Llama-3.1-70B-GGUF
Base Model(s)	Ref 70 E3 mattshumer/ref_70_e3
Model Size	70b
Required VRAM	26.4 GB
Updated	2026-07-22
Maintainer	unsloth
Model Type	llama
Model Files	26.4 GB 37.1 GB 42.5 GB 49.9 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Vocabulary Size	128262
Torch Data Type	bfloat16

Rank the Reflection Llama 3.1 70B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Reflection Llama 3.1 70B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
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
R1 1776 Distill Llama 70B GGUF	128K / 26.4 GB	2478	24
Reflection Llama 3.1 70B Bf16	128K / 141.9 GB	283	6
...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/Reflection-Llama-3.1-70B-GGUF.