What are the hardware requirements for Meta Llama 3 8B Instruct Abliterated V3?

Meta Llama 3 8B Instruct Abliterated V3 requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 8B Instruct Abliterated V3 and how large is it?

Meta Llama 3 8B Instruct Abliterated V3 is developed by failspy, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Meta Llama 3 8B Instruct Abliterated V3 perform on standard benchmarks?

Meta Llama 3 8B Instruct Abliterated V3 has the following published scores: MMLU 66.67. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 8B Instruct Abliterated V3 by failspy — VRAM 16.1GB, 8K context

Name: Meta Llama 3 8B Instruct Abliterated V3
Author: failspy

Meta Llama 3 8B Instruct Abliterated V3 is an open-source language model by failspy. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.24, Arc: 61.6, HellaSwag: 78.4, MMLU: 66.7, GSM8K: 70.1.

Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3

Meta Llama 3 8B Instruct Abliterated V3 Parameters and Internals

Model Type

text generation

Additional Notes

The model has undergone orthogonalization to remove refusal behavior without altering other aspects of the original 70B instruct model. Known as "abliteration," this process differentiates it from standard uncensored fine-tunes. Potential quirks due to new methodology are acknowledged.

Training Details

Methodology:

Orthogonalization (Ablation) of refusal behavior based on a refined methodology.

LLM Name	Meta Llama 3 8B Instruct Abliterated V3
Repository 🤗	https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-02
Maintainer	failspy
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B Instruct Abliterated V3 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

Quantized Models of the Meta Llama 3 8B Instruct Abliterated V3

Model	Likes	Downloads	VRAM
...truct Abliterated V3 GPTQ 4bit	0	9	5 GB

Best Alternatives to Meta Llama 3 8B Instruct Abliterated V3

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