What are the hardware requirements for Qwen2.5 5.7K Sports Content?

Qwen2.5 5.7K Sports Content 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 Qwen2.5 5.7K Sports Content and how large is it?

Qwen2.5 5.7K Sports Content is developed by mikun, 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 Qwen2.5 5.7K Sports Content?

Qwen2.5 5.7K Sports Content is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 5.7K Sports Content by mikun — VRAM 15.2GB, 128K context

Name: Qwen2.5 5.7K Sports Content
Author: mikun

Qwen2.5 5.7K Sports Content is an open-source language model by mikun. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.15.

4bit Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mikun/qwen2.5_5.7k_sports_content

Qwen2.5 5.7K Sports Content Parameters and Internals

LLM Name	Qwen2.5 5.7k Sports Content
Repository 🤗	https://huggingface.co/mikun/qwen2.5_5.7k_sports_content
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-07
Maintainer	mikun
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
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 5.7K Sports Content capabilities

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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 Qwen2.5 5.7K Sports Content

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	155	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 mikun/qwen2.5_5.7k_sports_content.