What are the hardware requirements for Human Like Qwen2.5 7B Instruct?

Human Like Qwen2.5 7B Instruct 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 Human Like Qwen2.5 7B Instruct and how large is it?

Human Like Qwen2.5 7B Instruct is developed by HumanLLMs, 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 Human Like Qwen2.5 7B Instruct?

Human Like Qwen2.5 7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Human Like Qwen2.5 7B Instruct by HumanLLMs — VRAM 15.2GB, 32K context

Name: Human Like Qwen2.5 7B Instruct
Author: HumanLLMs

Human Like Qwen2.5 7B Instruct is an open-source language model by HumanLLMs. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2106.09685 Arxiv:2305.18290 Arxiv:2501.05032 Axolotl Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Dataset:humanllms/human-like-d... Dpo En Endpoints compatible Instruct Model-index Qwen2 Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/HumanLLMs/Human-Like-Qwen2.5-7B-Instruct

Human Like Qwen2.5 7B Instruct Parameters and Internals

Model Type

text-generation

Additional Notes

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on an unknown dataset.

Training Details

Context Length:

8192

Hardware Used:

multi-GPU

LLM Name	Human Like Qwen2.5 7B Instruct
Repository 🤗	https://huggingface.co/HumanLLMs/Human-Like-Qwen2.5-7B-Instruct
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-06
Maintainer	HumanLLMs
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
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Human Like Qwen2.5 7B Instruct 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 Human Like Qwen2.5 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
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
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than HumanLLMs/Human-Like-Qwen2.5-7B-Instruct.