What are the hardware requirements for Code Summary Model Llama 3.1 8B Instruct 4bit?

Code Summary Model Llama 3.1 8B Instruct 4bit requires approximately 16.1 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 Code Summary Model Llama 3.1 8B Instruct 4bit and how large is it?

Code Summary Model Llama 3.1 8B Instruct 4bit is developed by bestler, 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 Code Summary Model Llama 3.1 8B Instruct 4bit?

Code Summary Model Llama 3.1 8B Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code Summary Model Llama 3.1 8B Instruct 4bit by bestler — VRAM 16.1GB, 128K context

Name: Code Summary Model Llama 3.1 8B Instruct 4bit
Author: bestler

Code Summary Model Llama 3.1 8B Instruct 4bit is an open-source language model by bestler. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

4bit Base model:mlx-community/meta-... Base model:quantized:mlx-commu... Conversational De En Endpoints compatible Es F16 Facebook Fr Ggml Gguf Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Quantized Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/bestler/Code-Summary-Model-Llama-3.1-8B-Instruct-4bit

Code Summary Model Llama 3.1 8B Instruct 4bit Parameters and Internals

LLM Name	Code Summary Model Llama 3.1 8B Instruct 4bit
Repository 🤗	https://huggingface.co/bestler/Code-Summary-Model-Llama-3.1-8B-Instruct-4bit
Base Model(s)	mlx-community/Meta-Llama-3.1-8B-Instruct-4bit mlx-community/Meta-Llama-3.1-8B-Instruct-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	bestler
Model Type	llama
Instruction-Based	Yes
Model Files	16.1 GB 5.3 GB: 1-of-4 5.3 GB: 2-of-4 4.4 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en de fr it pt hi es th
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|4bit\|gguf
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Code Summary Model Llama 3.1 8B Instruct 4bit 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 Code Summary Model Llama 3.1 8B Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...AI Korean Llama 3.1 Sft DPO 8B	128K / 16.1 GB	288	7
...orean Llama3.1 Sft Rlhf DPO 8B	128K / 16.1 GB	94	3
...Ko Llama3 Instruct DPO 8B Base	8K / 16.1 GB	457	0
...Llama 3 8B Instruct Fine Tuned	8K / 18.8 GB	21	0
Llama 3 8B Instruct Chinese	8K / 16.1 GB	459	34
...3 Empower Functions Small Gguf	8K / 4.9 GB	186	0
Rag Tge Pl Llama 3 8B	8K / 16.1 GB	13	0
Llama 8B Gguf	8K / 4.9 GB	28	0
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3