What are the hardware requirements for Sanskrit Qwen2.5 7B Base?

Sanskrit Qwen2.5 7B Base 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 Sanskrit Qwen2.5 7B Base and how large is it?

Sanskrit Qwen2.5 7B Base is developed by diabolic6045, 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 Sanskrit Qwen2.5 7B Base?

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

Sanskrit Qwen2.5 7B Base by diabolic6045 — VRAM 15.2GB, 128K context

Name: Sanskrit Qwen2.5 7B Base
Author: diabolic6045

Sanskrit Qwen2.5 7B Base is an open-source language model by diabolic6045. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Axolotl Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b Conversational Dataset:diabolic6045/sanskrit-... Endpoints compatible Language-model Qwen2 Region:us Sa Safetensors Sanskrit Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/diabolic6045/Sanskrit-Qwen2.5-7B-base

Sanskrit Qwen2.5 7B Base Parameters and Internals

LLM Name	Sanskrit Qwen2.5 7B Base
Repository 🤗	https://huggingface.co/diabolic6045/Sanskrit-Qwen2.5-7B-base
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-05
Maintainer	diabolic6045
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
Supported Languages	sa
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Sanskrit Qwen2.5 7B Base capabilities

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Instruction Following and Task Automation
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Multi-Language Support and Translation

Best Alternatives to Sanskrit Qwen2.5 7B Base

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than diabolic6045/Sanskrit-Qwen2.5-7B-base.