What are the hardware requirements for Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2?

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 requires approximately 6.4 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 Bpw6 EXL2 and how large is it?

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 is developed by blockblockblock, 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 Bpw6 EXL2?

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 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 Bpw6 EXL2 by blockblockblock — VRAM 6.4GB, 128K context

Name: Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2
Author: blockblockblock

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 is an open-source language model by blockblockblock. Features: 7b LLM, VRAM: 6.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

6-bit Axolotl Base model:quantized:qwen/qwen... 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 Exl2 Generated from trainer Quantized Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 Parameters and Internals

LLM Name	Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2
Repository 🤗	https://huggingface.co/blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2
Base Model(s)	Qwen2 7B Qwen/Qwen2-7B
Model Size	7b
Required VRAM	6.4 GB
Updated	2026-06-27
Maintainer	blockblockblock
Model Type	qwen2
Model Files	6.4 GB
Quantization Type	exl2
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 Bpw6 EXL2 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 2.9.2 Qwen2 7B Bpw6 EXL2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	444	11
...wen2.5 7B Instruct 1M Bnb 4bit	986K / 5.5 GB	267	1
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	63	4
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	37	3
Legal Qwen2.5 7B Sft	128K / 15.2 GB	152	0
A1 V002	128K / 15.2 GB	7	0
Mini Pathfinder	128K / 15.2 GB	16	0
A1 V0.0.1	128K / 15.2 GB	8	0
CogitoDistil	128K / 15.2 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2.