What are the hardware requirements for Green Tea Qwen2.5 Coder 14B Energy Sft?

Green Tea Qwen2.5 Coder 14B Energy Sft requires approximately 29.7 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 Green Tea Qwen2.5 Coder 14B Energy Sft and how large is it?

Green Tea Qwen2.5 Coder 14B Energy Sft is developed by saurabh-singh-rajput, a model with 14b 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 Green Tea Qwen2.5 Coder 14B Energy Sft?

Green Tea Qwen2.5 Coder 14B Energy Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Green Tea Qwen2.5 Coder 14B Energy Sft by saurabh-singh-rajput — VRAM 29.7GB, 32K context

Name: Green Tea Qwen2.5 Coder 14B Energy Sft
Author: saurabh-singh-rajput

Green Tea Qwen2.5 Coder 14B Energy Sft is an open-source language model by saurabh-singh-rajput. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.26.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-cod... Code Codegen Endpoints compatible Energy-efficient-code-generati... Green-software-engineering Merge Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/saurabh-singh-rajput/green-tea-qwen2.5-coder-14b-energy-sft

Green Tea Qwen2.5 Coder 14B Energy Sft Parameters and Internals

LLM Name	Green Tea Qwen2.5 Coder 14B Energy Sft
Repository 🤗	https://huggingface.co/saurabh-singh-rajput/green-tea-qwen2.5-coder-14b-energy-sft
Base Model(s)	unsloth/Qwen2.5-Coder-14B unsloth/Qwen2.5-Coder-14B
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-23
Maintainer	saurabh-singh-rajput
Model Type	qwen2
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.7 GB: 6-of-6
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Green Tea Qwen2.5 Coder 14B Energy Sft 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 Green Tea Qwen2.5 Coder 14B Energy Sft

Best Alternatives	Context / RAM	Downloads	Likes
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
Primal Opus 14B Optimus V2	128K / 29.7 GB	12	4
Qwen2.5 14B ReasoningMerge	128K / 29.7 GB	31	3

Note: green Score (e.g. "73.2") means that the model is better than saurabh-singh-rajput/green-tea-qwen2.5-coder-14b-energy-sft.