What are the hardware requirements for Reflection Llama 3.1 70B Bf16?

Reflection Llama 3.1 70B Bf16 requires approximately 141.9 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 Bf16 and how large is it?

Reflection Llama 3.1 70B Bf16 is developed by leafspark, 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 Bf16?

Reflection Llama 3.1 70B Bf16 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 Bf16 by leafspark — VRAM 141.9GB, 128K context

Name: Reflection Llama 3.1 70B Bf16
Author: leafspark

Reflection Llama 3.1 70B Bf16 is an open-source language model by leafspark. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.1, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Conversational En Endpoints compatible Gguf Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/leafspark/Reflection-Llama-3.1-70B-bf16

Reflection Llama 3.1 70B Bf16 Parameters and Internals

LLM Name	Reflection Llama 3.1 70B Bf16
Repository 🤗	https://huggingface.co/leafspark/Reflection-Llama-3.1-70B-bf16
Base Model(s)	meta-llama/Meta-Llama-3.1-70B-Instruct meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size	70b
Required VRAM	141.9 GB
Updated	2024-09-08
Maintainer	leafspark
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30 0.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128262
Torch Data Type	bfloat16

Rank the Reflection Llama 3.1 70B Bf16 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 Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Grok Oss Revenant 70B	128K / 141.9 GB	8503	2
Llama 3.3 70B Instruct GGUF	128K / 15.9 GB	23398	124
...ma3 70B Chinese Chat GGUF 4bit	8K / 40 GB	196	18
Meta Llama 3 70B Instruct	8K / 40.3 GB	6	1
CodeLlama 70B Instruct Hf GGUF	4K / 25.5 GB	487	2
...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2

Note: green Score (e.g. "73.2") means that the model is better than leafspark/Reflection-Llama-3.1-70B-bf16.