What are the hardware requirements for Openbuddy Qwen2.5llamaify 7B V23.1 200K?

Openbuddy Qwen2.5llamaify 7B V23.1 200K requires approximately 15.2 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openbuddy Qwen2.5llamaify 7B V23.1 200K and how large is it?

Openbuddy Qwen2.5llamaify 7B V23.1 200K is developed by OpenBuddy, 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 Openbuddy Qwen2.5llamaify 7B V23.1 200K?

Openbuddy Qwen2.5llamaify 7B V23.1 200K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openbuddy Qwen2.5llamaify 7B V23.1 200K by OpenBuddy — VRAM 15.2GB, 195K context

Name: Openbuddy Qwen2.5llamaify 7B V23.1 200K
Author: OpenBuddy

Openbuddy Qwen2.5llamaify 7B V23.1 200K is an open-source language model by OpenBuddy. Features: 7b LLM, VRAM: 15.2GB, Context: 195K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational De En Fi Fr Instruct It Ja Ko Llama Llamaify Model-index Qwen2.5 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k

Openbuddy Qwen2.5llamaify 7B V23.1 200K Parameters and Internals

Model Type

text-generation

Additional Notes

For complete leaderboard results, visit the provided URL.

Supported Languages

zh (full), en (full), fr (full), de (full), ja (full), ko (full), it (full), fi (full)

Input Output

Input Format:

Special token formatted prompts using serializers like `<|role|>`.

Accepted Modalities:

text

Output Format:

Text-based outputs following input queries.

Performance Tips:

Use transformers framework for optimal tokenizing.

LLM Name	Openbuddy Qwen2.5llamaify 7B V23.1 200K
Repository 🤗	https://huggingface.co/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-25
Maintainer	OpenBuddy
Model Type	llama
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	zh en fr de ja ko it fi
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.45.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|pad0\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Openbuddy Qwen2.5llamaify 7B V23.1 200K 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

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Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k.