What are the hardware requirements for Llama 3 120B Instruct Abliterated Merged?

Llama 3 120B Instruct Abliterated Merged requires approximately 243.7 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 Llama 3 120B Instruct Abliterated Merged and how large is it?

Llama 3 120B Instruct Abliterated Merged is developed by imi2, a model with 120b 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 Llama 3 120B Instruct Abliterated Merged?

Llama 3 120B Instruct Abliterated Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 120B Instruct Abliterated Merged by imi2 — VRAM 243.7GB, 8K context

Name: Llama 3 120B Instruct Abliterated Merged
Author: imi2

Llama 3 120B Instruct Abliterated Merged is an open-source language model by imi2. Features: 120b LLM, VRAM: 243.7GB, Context: 8K, Instruction-Based, Merged, LLM Explorer Score: 0.12.

Merged Model Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/imi2/llama-3-120B-Instruct-abliterated-merged

Llama 3 120B Instruct Abliterated Merged Parameters and Internals

LLM Name	Llama 3 120B Instruct Abliterated Merged
Repository 🤗	https://huggingface.co/imi2/llama-3-120B-Instruct-abliterated-merged
Merged Model	Yes
Model Size	120b
Required VRAM	243.7 GB
Updated	2026-07-17
Maintainer	imi2
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-25 9.8 GB: 2-of-25 9.9 GB: 3-of-25 9.8 GB: 4-of-25 10.0 GB: 5-of-25 9.7 GB: 6-of-25 9.9 GB: 7-of-25 9.9 GB: 8-of-25 9.8 GB: 9-of-25 10.0 GB: 10-of-25 9.8 GB: 11-of-25 9.9 GB: 12-of-25 9.8 GB: 13-of-25 9.9 GB: 14-of-25 10.0 GB: 15-of-25 9.7 GB: 16-of-25 9.9 GB: 17-of-25 9.9 GB: 18-of-25 9.8 GB: 19-of-25 10.0 GB: 20-of-25 10.0 GB: 21-of-25 9.7 GB: 22-of-25 10.0 GB: 23-of-25 10.0 GB: 24-of-25 6.6 GB: 25-of-25
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 120B Instruct Abliterated Merged 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 Llama 3 120B Instruct Abliterated Merged

Best Alternatives	Context / RAM	Downloads	Likes
...ma 3 Instruct 120B Cat A Llama	8K / 243.9 GB	2	1
Meta Llama 3 225B Instruct	8K / 443.2 GB	274	18
Koishi 120B Qlora	4K / 216.9 GB	7	1
...t 120B Cat A Llama EXL2 5.5bpw	8K / 85.3 GB	5	0
...t 120B Cat A Llama EXL2 4.5bpw	8K / 70.3 GB	4	1
...egaDolphin 120B 2.9bpw H6 EXL2	4K / 44.3 GB	2	3
...gaDolphin 120B 2.65bpw H6 EXL2	4K / 40.5 GB	3	2
...egaDolphin 120B 4.0bpw H6 EXL2	4K / 60.8 GB	4	1
MegaDolphin 120B GPTQ	4K / 61.1 GB	25	4
MegaDolphin 120B AWQ	4K / 63.3 GB	7	2

Note: green Score (e.g. "73.2") means that the model is better than imi2/llama-3-120B-Instruct-abliterated-merged.