What are the hardware requirements for Llm4decompile 6.7B V1.6?

Llm4decompile 6.7B V1.6 requires approximately 13.5 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 Llm4decompile 6.7B V1.6 and how large is it?

Llm4decompile 6.7B V1.6 is developed by LLM4Binary, a model with 6.7b 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 Llm4decompile 6.7B V1.6?

Llm4decompile 6.7B V1.6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm4decompile 6.7B V1.6 by LLM4Binary — VRAM 13.5GB, 8K context

Name: Llm4decompile 6.7B V1.6
Author: LLM4Binary

Llm4decompile 6.7B V1.6 is an open-source language model by LLM4Binary. Features: 6.7b LLM, VRAM: 13.5GB, Context: 8K, License: mit, LLM Explorer Score: 0.19.

Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v1.6

Llm4decompile 6.7B V1.6 Parameters and Internals

LLM Name	Llm4decompile 6.7B V1.6
Repository 🤗	https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v1.6
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2026-08-01
Maintainer	LLM4Binary
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	mit
Context Length	8192
Model Max Length	8192
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the Llm4decompile 6.7B V1.6 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 Llm4decompile 6.7B V1.6

Best Alternatives	Context / RAM	Downloads	Likes
Gptnoise37	128K / 13.5 GB	67	0
...Deepseek Coder 6.7B Energy Sft	16K / 13.5 GB	261	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	54216	124
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
...ir8 Ds Coder6.7b Rmsprop Iter4	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter2	16K / 13.5 GB	480	0
...ir8 Ds Coder6.7b Rmsprop Iter2	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...ir8 Ds Coder6.7b Rmsprop Iter3	16K / 13.5 GB	165	0
...s Coder6.7b Reflct Adamw Iter3	16K / 13.5 GB	430	0

Note: green Score (e.g. "73.2") means that the model is better than LLM4Binary/llm4decompile-6.7b-v1.6.