What are the hardware requirements for Hamlet Merged?

Hamlet Merged requires approximately 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 Hamlet Merged and how large is it?

Hamlet Merged is developed by asulova, a model with 494m 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 Hamlet Merged?

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

Hamlet Merged by asulova — VRAM 2GB, 32K context

Name: Hamlet Merged
Author: asulova

Hamlet Merged is an open-source language model by asulova. Features: 494m LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.2.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/asulova/hamlet-merged

Hamlet Merged Parameters and Internals

LLM Name	Hamlet Merged
Repository 🤗	https://huggingface.co/asulova/hamlet-merged
Model Size	494m
Required VRAM	2 GB
Updated	2026-07-07
Maintainer	asulova
Model Type	qwen2
Model Files	2.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Errors	replace

Rank the Hamlet Merged 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 Hamlet Merged

Best Alternatives	Context / RAM	Downloads
Qwen2 Sft Warmup	128K / 0 GB	6
Qwen2 0.5Bchp 690K	128K / 2 GB	5
Qwen2 0.5Bchp 570K	128K / 2 GB	13
Qwen2 0.5Bchp 15K	128K / 2 GB	10
Qwen2 0.5Bchp 300000	128K / 2 GB	8
Qwen2 0.5Bchp 20000	128K / 2 GB	12
Svig Tiny Step 3.7K	128K / 2 GB	16
...en2 Emotions Without Reasoning	128K / 2 GB	11
Tinyqwen	128K / 1 GB	9
Augmented D8750210c165cd25	32K / 1 GB	171

Note: green Score (e.g. "73.2") means that the model is better than asulova/hamlet-merged.