What are the hardware requirements for Dolphin3.0 Llama3.1 8B MLX 6bit?

Dolphin3.0 Llama3.1 8B MLX 6bit requires approximately 6.5 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 Dolphin3.0 Llama3.1 8B MLX 6bit and how large is it?

Dolphin3.0 Llama3.1 8B MLX 6bit is developed by mlx-community, 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 Dolphin3.0 Llama3.1 8B MLX 6bit?

Dolphin3.0 Llama3.1 8B MLX 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin3.0 Llama3.1 8B MLX 6bit by mlx-community — VRAM 6.5GB, 128K context

Name: Dolphin3.0 Llama3.1 8B MLX 6bit
Author: mlx-community

Dolphin3.0 Llama3.1 8B MLX 6bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.1, Quantized, LLM Explorer Score: 0.25.

6-bit 6bit Base model:dphn/dolphin3.0-lla... Base model:quantized:dphn/dolp... Conversational Dataset:ai-mo/numinamath-cot Dataset:ai-mo/numinamath-tir Dataset:allenai/tulu-3-sft-mix... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:huggingfacetb/smoltalk Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-agentin... Dataset:microsoft/orca-math-wo... Dataset:nousresearch/hermes-fu... Dataset:opencoder-llm/opc-sft-... Dataset:opencoder-llm/opc-sft-... En Llama Mlx Model-index Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit

Dolphin3.0 Llama3.1 8B MLX 6bit Parameters and Internals

LLM Name	Dolphin3.0 Llama3.1 8B MLX 6bit
Repository 🤗	https://huggingface.co/mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit
Base Model(s)	dphn/Dolphin3.0-Llama3.1-8B dphn/Dolphin3.0-Llama3.1-8B
Model Size	8b
Required VRAM	6.5 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	llama
Model Files	5.3 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Quantization Type	6bit
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
Vocabulary Size	128258
Torch Data Type	bfloat16

Rank the Dolphin3.0 Llama3.1 8B MLX 6bit capabilities

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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

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