What are the hardware requirements for Qwen2 5 7B Inst Bespoke Full Sft?

Qwen2 5 7B Inst Bespoke Full Sft requires approximately 15.2 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.

Who developed Qwen2 5 7B Inst Bespoke Full Sft and how large is it?

Qwen2 5 7B Inst Bespoke Full Sft is developed by chocckaka, 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 7B Inst Bespoke Full Sft?

Qwen2 5 7B Inst Bespoke Full Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 5 7B Inst Bespoke Full Sft by chocckaka — VRAM 15.2GB, 32K context

Name: Qwen2 5 7B Inst Bespoke Full Sft
Author: chocckaka

Qwen2 5 7B Inst Bespoke Full Sft is an open-source language model by chocckaka. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.18.

Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chocckaka/Qwen2_5_7B_inst_bespoke_full_sft

Qwen2 5 7B Inst Bespoke Full Sft Parameters and Internals

LLM Name	Qwen2 5 7B Inst Bespoke Full Sft
Repository 🤗	https://huggingface.co/chocckaka/Qwen2_5_7B_inst_bespoke_full_sft
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-06-23
Maintainer	chocckaka
Model Type	qwen2
Instruction-Based	Yes
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 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 5 7B Inst Bespoke Full Sft 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 7B Inst Bespoke Full Sft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than chocckaka/Qwen2_5_7B_inst_bespoke_full_sft.