What are the hardware requirements for Llama3.1 8B Enigma?

Llama3.1 8B Enigma requires approximately 32.1 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 Llama3.1 8B Enigma and how large is it?

Llama3.1 8B Enigma is developed by ValiantLabs, a model with 8b 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 Llama3.1 8B Enigma?

Llama3.1 8B Enigma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.1 8B Enigma by ValiantLabs — VRAM 32.1GB, 128K context

Name: Llama3.1 8B Enigma
Author: ValiantLabs

Llama3.1 8B Enigma is an open-source language model by ValiantLabs. Features: 8b LLM, VRAM: 32.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.18.

8b Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Chat Code Code-instruct Conversational Dataset:sequelbox/supernova Dataset:sequelbox/tachibana En Enigma Instruct Llama Llama-3 Llama-3-instruct Llama-3-instruct-8b Llama-3.1 Llama-3.1-instruct Llama-3.1-instruct-8b Model-index Python Region:us Safetensors Sharded Tensorflow Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/ValiantLabs/Llama3.1-8B-Enigma

Llama3.1 8B Enigma Parameters and Internals

Model Type

text-generation, code-instruct, chat, instruct

Additional Notes

Enigma uses the Llama 3.1 Instruct prompt format, and is designed to be a highly capable code assistant.

Training Details

Data Sources:

sequelbox/Tachibana, LDJnr/Pure-Dove

Methodology:

Finetuned on synthetic code-instruct data generated with Llama 3.1 405b

Release Notes

Version:

2024-08-10

Date:

2024-08-10

Notes:

Initial release of Enigma for Llama 3.1 8b.

LLM Name	Llama3.1 8B Enigma
Repository 🤗	https://huggingface.co/ValiantLabs/Llama3.1-8B-Enigma
Base Model(s)	meta-llama/Meta-Llama-3.1-8B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	32.1 GB
Updated	2026-07-21
Maintainer	ValiantLabs
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Llama3.1 8B Enigma 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 Llama3.1 8B Enigma

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/Llama3.1-8B-Enigma.