What are the hardware requirements for Qwen2 1.5B MAC Gguf F16?

Qwen2 1.5B MAC Gguf F16 requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 1.5B MAC Gguf F16 and how large is it?

Qwen2 1.5B MAC Gguf F16 is developed by inflaton, a model with 1.5b 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 Qwen2 1.5B MAC Gguf F16?

Qwen2 1.5B MAC Gguf F16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 1.5B MAC Gguf F16 by inflaton — VRAM 3.1GB

Name: Qwen2 1.5B MAC Gguf F16
Author: inflaton

Qwen2 1.5B MAC Gguf F16 is an open-source language model by inflaton. Features: 1.5b LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.13.

Merged Model 4bit Base model:inflaton/qwen2-1.5b... Base model:quantized:inflaton/... Conversational En Endpoints compatible Fp16 Gguf Quantized Qwen2 Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/inflaton/Qwen2-1.5B-MAC-gguf-f16

Qwen2 1.5B MAC Gguf F16 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This model was trained using Unsloth for faster training times.

Training Details

Methodology:

Finetuned using Unsloth and Huggingface's TRL library

Training Time:

2x faster than traditional methods

LLM Name	Qwen2 1.5B MAC Gguf F16
Repository 🤗	https://huggingface.co/inflaton/Qwen2-1.5B-MAC-gguf-f16
Base Model(s)	inflaton/Qwen2-1.5B-merged_4bit_forced inflaton/Qwen2-1.5B-merged_4bit_forced
Merged Model	Yes
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2024-12-06
Maintainer	inflaton
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Qwen2 1.5B MAC Gguf F16 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 Qwen2 1.5B MAC Gguf F16

Best Alternatives	Context / RAM	Downloads	Likes
MoeinGTS1.5 1.5B	0K / 1 GB	113	1
MedScholar 1.5B F32 GGUF	0K / 0.7 GB	84	3
Qwen2 1.5B Instruct GGUF	0K / 0.4 GB	346	8
Jenna V3 Qwen2 1.5 GGUF Q4	0K / 1 GB	29	0
Jenna V3 Qwen2 1.5 GGUF	0K / 3.1 GB	24	1
Qwen2 1.5B Ita V2	0K / 0.1 GB	16	0
Qwen2 1.5B	0K / 1.1 GB	13	0
Qwen2 1.5B MAC Gguf Q8 0	0K / 0.4 GB	23	0
Qwen2 1.5B MAC Gguf Q4 K M	0K / 0.3 GB	22	0
Qwen2 1.5B Gguf F16	0K / 3.1 GB	16	0

Note: green Score (e.g. "73.2") means that the model is better than inflaton/Qwen2-1.5B-MAC-gguf-f16.