What are the hardware requirements for Mitra Qwen35 Base Stage2?

Mitra Qwen35 Base Stage2 requires approximately 17.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mitra Qwen35 Base Stage2 and how large is it?

Mitra Qwen35 Base Stage2 is developed by buddhist-nlp, a model with 9b 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 Mitra Qwen35 Base Stage2?

Mitra Qwen35 Base Stage2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mitra Qwen35 Base Stage2 by buddhist-nlp — VRAM 17.9GB, 256K context

Name: Mitra Qwen35 Base Stage2
Author: buddhist-nlp

Mitra Qwen35 Base Stage2 is an open-source language model by buddhist-nlp. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.24.

Bo Buddhist-studies Classical-chinese Conversational De En Endpoints compatible Pali Pi Qwen3 5 text Region:us Sa Safetensors Sanskrit Tibetan Translation Zh

Model Card on HF 🤗: https://huggingface.co/buddhist-nlp/mitra-qwen35-base-stage2

Mitra Qwen35 Base Stage2 Parameters and Internals

LLM Name	Mitra Qwen35 Base Stage2
Repository 🤗	https://huggingface.co/buddhist-nlp/mitra-qwen35-base-stage2
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-07-30
Maintainer	buddhist-nlp
Model Type	qwen3_5_text
Model Files	17.9 GB
Supported Languages	sa bo zh pi en de
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.13.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Mitra Qwen35 Base Stage2 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 Mitra Qwen35 Base Stage2

Best Alternatives	Context / RAM	Downloads	Likes
...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
...yber Ornith 1.5 9B OBLITERATED	256K / 17.9 GB	1424	7
JEV 9B	256K / 17.8 GB	471	12
Sbsam	256K / 17.9 GB	157	2
WikiQwen 9B	256K / 17.9 GB	1039	0
...te Qwopus MiMo Ornith 9B Coder	256K / 17.8 GB	439	6
JevK5 9B	256K / 17.9 GB	683	1
Qwen3.5 9B OutsideTheBox SFT	256K / 17.9 GB	409	0

Note: green Score (e.g. "73.2") means that the model is better than buddhist-nlp/mitra-qwen35-base-stage2.