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

Qwen2 2B RepleteCoder Upscaled 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 Upscaled and how large is it?

Qwen2 2B RepleteCoder Upscaled 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 Upscaled?

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

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

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

Qwen2 2B RepleteCoder Upscaled 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 Autotrain compatible Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

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

Qwen2 2B RepleteCoder Upscaled Parameters and Internals

Additional Notes

This is a merge of pre-trained language models using the passthrough merge method.

Training Details

Methodology:

Merge

LLM Name	Qwen2 2B RepleteCoder Upscaled
Repository 🤗	https://huggingface.co/mergekit-community/Qwen2-2B-RepleteCoder-Upscaled
Base Model(s)	Replete-AI/Replete-Coder-Qwen2-1.5b Replete-AI/Replete-Coder-Qwen2-1.5b
Merged Model	Yes
Model Size	2b
Required VRAM	4.3 GB
Updated	2025-09-23
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	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 2B RepleteCoder Upscaled 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 Qwen2 2B RepleteCoder Upscaled

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 2B RepleteCoder Hercules	128K / 4.3 GB	5	1
Qwen2 2B Dolphin RepleteCoder	128K / 4.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/Qwen2-2B-RepleteCoder-Upscaled.