What are the hardware requirements for Qwen Interview Evaluator?

Qwen Interview Evaluator requires approximately 3.1 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 Qwen Interview Evaluator and how large is it?

Qwen Interview Evaluator is developed by San150505, a model with 1.5b 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 Qwen Interview Evaluator?

Qwen Interview Evaluator is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen Interview Evaluator by San150505 — VRAM 3.1GB, 32K context

Name: Qwen Interview Evaluator
Author: San150505

Qwen Interview Evaluator is an open-source language model by San150505. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.33.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/San150505/qwen-interview-evaluator

Qwen Interview Evaluator Parameters and Internals

LLM Name	Qwen Interview Evaluator
Repository 🤗	https://huggingface.co/San150505/qwen-interview-evaluator
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-30
Maintainer	San150505
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.20.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen Interview Evaluator 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 Qwen Interview Evaluator

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
...rentGroupPairDivision 20261025	128K / 3.5 GB	153	1
... NoGoingBack Counting 20261025	128K / 3.5 GB	98	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
...mUnconflictedGridKMax 20261025	128K / 3.5 GB	89	1
...tAndZero PathCounting 20261025	128K / 3.5 GB	89	1
Qwen2.5 1.5B	128K / 3.1 GB	863295	203

Note: green Score (e.g. "73.2") means that the model is better than San150505/qwen-interview-evaluator.