What are the hardware requirements for MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed?

MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed requires approximately 4.9 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.

Where can I download or evaluate MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed?

MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed by PrunaAI — VRAM 4.9GB, 32K context

Name: MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed
Author: PrunaAI

MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 7b LLM, VRAM: 4.9GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Base model:mediatek-research/b... Base model:quantized:mediatek-... Bitsandbytes Instruct Mistral Pruna-ai Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/PrunaAI/MediaTek-Research-Breeze-7B-Instruct-v1_0-bnb-4bit-smashed

MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed Parameters and Internals

Additional Notes

Calibration data used is WikiText. Metrics results vary with 'first', 'Sync', 'Async' mention for different run conditions.

Training Details

Data Sources:

WikiText

Methodology:

Model compressed with llm-int8

Input Output

Output Format:

safetensors

Performance Tips:

Ensure you use conditions similar to your final use case to assess performance benefits.

Release Notes

Notes:

Model smashed and compressed with reduction in inference speed, memory, and energy consumption.

LLM Name	MediaTek Research Breeze 7B Instruct V1.0 Bnb 4bit Smashed
Repository 🤗	https://huggingface.co/PrunaAI/MediaTek-Research-Breeze-7B-Instruct-v1_0-bnb-4bit-smashed
Base Model(s)	Breeze 7B Instruct V1.0 MediaTek-Research/Breeze-7B-Instruct-v1_0
Model Size	7b
Required VRAM	4.9 GB
Updated	2025-09-23
Maintainer	PrunaAI
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB
Quantization Type	4bit
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	61952
Torch Data Type	float16

Rank the MediaTek Research Breeze 7B Instruct V1.0 Bnb 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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...aude Sonnet Mistral 7B It V0.3	32K / 14.5 GB	7	2
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Mixtral V0.3 Full 16bit	32K / 14.5 GB	12	0
... 7B Instruct V0.3ContinuedFine	32K / 14.5 GB	14	0
Mistral 7B Instruct V0.3 4bit	32K / 4.1 GB	12492	10
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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/MediaTek-Research-Breeze-7B-Instruct-v1_0-bnb-4bit-smashed.