What are the hardware requirements for Dolphin 2.9.2 Qwen2 7B?

Dolphin 2.9.2 Qwen2 7B requires approximately 15.2 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 Dolphin 2.9.2 Qwen2 7B and how large is it?

Dolphin 2.9.2 Qwen2 7B is developed by cognitivecomputations, 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 2.9.2 Qwen2 7B?

Dolphin 2.9.2 Qwen2 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.9.2 Qwen2 7B by cognitivecomputations — VRAM 15.2GB, 128K context

Name: Dolphin 2.9.2 Qwen2 7B
Author: cognitivecomputations

Dolphin 2.9.2 Qwen2 7B is an open-source language model by cognitivecomputations. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Autotrain compatible Axolotl Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-7b Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo... Dataset:teknium/openhermes-2.5 Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-7b

Dolphin 2.9.2 Qwen2 7B Parameters and Internals

LLM Name	Dolphin 2.9.2 Qwen2 7B
Repository 🤗	https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-7b
Base Model(s)	Qwen2 7B Qwen/Qwen2-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-07-13
Maintainer	cognitivecomputations
Model Type	qwen2
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.40.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Dolphin 2.9.2 Qwen2 7B 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

Quantized Models of the Dolphin 2.9.2 Qwen2 7B

Model	Downloads	VRAM
Tantrum 16bit	15	15 GB
QwenDq	28	4 GB
Dolphin 2.9.2 Qwen2 7B AWQ	31	5 GB
QwenDq	0	4 GB

Best Alternatives to Dolphin 2.9.2 Qwen2 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-2.9.2-qwen2-7b.