What are the hardware requirements for Dolphin 2.8 Mistral 7B V02 AWQ?

Dolphin 2.8 Mistral 7B V02 AWQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphin 2.8 Mistral 7B V02 AWQ and how large is it?

Dolphin 2.8 Mistral 7B V02 AWQ is developed by solidrust, a model with 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 Dolphin 2.8 Mistral 7B V02 AWQ?

Dolphin 2.8 Mistral 7B V02 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.8 Mistral 7B V02 AWQ by solidrust — VRAM 4.2GB, 32K context

Name: Dolphin 2.8 Mistral 7B V02 AWQ
Author: solidrust

Dolphin 2.8 Mistral 7B V02 AWQ is an open-source language model by solidrust. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Awq Base model:dphn/dolphin-2.8-mi... Base model:quantized:dphn/dolp... Chatml Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:jondurbin/airoboros-2.... Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil... Dataset:teknium/openhermes-2.5 En Endpoints compatible Generated from trainer Instruct Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/solidrust/dolphin-2.8-mistral-7b-v02-AWQ

Dolphin 2.8 Mistral 7B V02 AWQ Parameters and Internals

LLM Name	Dolphin 2.8 Mistral 7B V02 AWQ
Repository 🤗	https://huggingface.co/solidrust/dolphin-2.8-mistral-7b-v02-AWQ
Model Name	dolphin-2.8-mistral-7b-v02
Model Creator	cognitivecomputations
Base Model(s)	cognitivecomputations/dolphin-2.8-mistral-7b-v02 cognitivecomputations/dolphin-2.8-mistral-7b-v02
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	solidrust
Model Type	mistral
Instruction-Based	Yes
Model Files	4.2 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	float16

Rank the Dolphin 2.8 Mistral 7B V02 AWQ 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 Dolphin 2.8 Mistral 7B V02 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	6	0
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	298182	52
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5633	10
Mistral 7B Instruct V0.1 AWQ	32K / 4.2 GB	15461	2
...reeze 7B 32K Instruct V1.0 AWQ	32K / 4.7 GB	9	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	5	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	14	1
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	628	1
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5	0
...Instruct V0.2 AWQ 4bit Smashed	32K / 4.2 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than solidrust/dolphin-2.8-mistral-7b-v02-AWQ.