What are the hardware requirements for Qwen2 2B RepleteCoder Hercules?

Qwen2 2B RepleteCoder Hercules requires approximately 4.3 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 Qwen2 2B RepleteCoder Hercules and how large is it?

Qwen2 2B RepleteCoder Hercules is developed by mergekit-community, a model with 2b 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 Qwen2 2B RepleteCoder Hercules?

Qwen2 2B RepleteCoder Hercules is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 2B RepleteCoder Hercules by mergekit-community — VRAM 4.3GB, 128K context

Name: Qwen2 2B RepleteCoder Hercules
Author: mergekit-community

Qwen2 2B RepleteCoder Hercules is an open-source language model by mergekit-community. Features: 2b LLM, VRAM: 4.3GB, Context: 128K, Code Generating, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:finetune:m4-ai/herc... Base model:m4-ai/hercules-5.0-... Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/Qwen2-2B-RepleteCoder-Hercules

Qwen2 2B RepleteCoder Hercules Parameters and Internals

Additional Notes

This is a merged model created using the passthrough merge method. It merges two models: M4-ai/Hercules-5.0-Qwen2-1.5B and Replete-AI/Replete-Coder-Qwen2-1.5b, using a specific YAML configuration defined within.

LLM Name	Qwen2 2B RepleteCoder Hercules
Repository 🤗	https://huggingface.co/mergekit-community/Qwen2-2B-RepleteCoder-Hercules
Base Model(s)	M4-ai/Hercules-5.0-Qwen2-1.5B Replete-AI/Replete-Coder-Qwen2-1.5b M4-ai/Hercules-5.0-Qwen2-1.5B Replete-AI/Replete-Coder-Qwen2-1.5b
Merged Model	Yes
Model Size	2b
Required VRAM	4.3 GB
Updated	2026-08-07
Maintainer	mergekit-community
Model Type	qwen2
Model Files	4.3 GB: 1-of-1
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 2B RepleteCoder Hercules 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 Qwen2 2B RepleteCoder Hercules

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 2B Dolphin RepleteCoder	128K / 4.3 GB	6	0
Qwen2 2B RepleteCoder Upscaled	128K / 4.3 GB	5	0