What are the hardware requirements for Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed?

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed requires approximately 2.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed?

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed by PrunaAI — VRAM 2.1GB, 8K context

Name: Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed
Author: PrunaAI

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed is an open-source language model by PrunaAI. Features: 2b LLM, VRAM: 2.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

4bit Base model:cognitivecomputatio... Base model:finetune:cognitivec... Gemma Pruna-ai Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed Parameters and Internals

Model Type

compressed, quantized, 4-bit

Use Cases

Areas:

general

Applications:

use-case conditions testing

Additional Notes

Results may vary depending on specific GPU processes and hardware used.

Training Details

Data Sources:

WikiText

Methodology:

compressed with hqq

Input Output

Input Format:

Tokenized input using AutoTokenizer from transformers.

Accepted Modalities:

text

Output Format:

Decoded text output

Performance Tips:

Runs might be affected by cuda overheads in initial executions.

LLM Name	Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed
Repository 🤗	https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed
Base Model(s)	cognitivecomputations/dolphin-2.8-gemma-2b cognitivecomputations/dolphin-2.8-gemma-2b
Model Size	2b
Required VRAM	2.1 GB
Updated	2025-09-23
Maintainer	PrunaAI
Model Type	gemma
Model Files	2.1 GB
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed 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

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed.