What are the hardware requirements for Samantha2.0 Qwen2.5 14B Ita 16bit?

Samantha2.0 Qwen2.5 14B Ita 16bit requires approximately 29.7 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 Samantha2.0 Qwen2.5 14B Ita 16bit and how large is it?

Samantha2.0 Qwen2.5 14B Ita 16bit is developed by WasamiKirua, 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 Samantha2.0 Qwen2.5 14B Ita 16bit?

Samantha2.0 Qwen2.5 14B Ita 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Samantha2.0 Qwen2.5 14B Ita 16bit by WasamiKirua — VRAM 29.7GB, 128K context

Name: Samantha2.0 Qwen2.5 14B Ita 16bit
Author: WasamiKirua

Samantha2.0 Qwen2.5 14B Ita 16bit is an open-source language model by WasamiKirua. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

4bit Autotrain compatible Companion Conversational Dataset:wasamikirua/haiku-ita-... Dataset:wasamikirua/samantha2.... Endpoints compatible Eq It Psychology Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/WasamiKirua/Samantha2.0-Qwen2.5-14B-ita-16bit

Samantha2.0 Qwen2.5 14B Ita 16bit Parameters and Internals

LLM Name	Samantha2.0 Qwen2.5 14B Ita 16bit
Repository 🤗	https://huggingface.co/WasamiKirua/Samantha2.0-Qwen2.5-14B-ita-16bit
Base Model(s)	unsloth/qwen2.5-14b-bnb-4bit unsloth/qwen2.5-14b-bnb-4bit
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-04-11
Maintainer	WasamiKirua
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
Supported Languages	it
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Samantha2.0 Qwen2.5 14B Ita 16bit 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 Samantha2.0 Qwen2.5 14B Ita 16bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M 8bit	986K / 15.7 GB	430	12
Qwen2.5 14B Instruct 1M 4bit	986K / 8.3 GB	379	2
...en2.5 14B Instruct 1M Bnb 4bit	986K / 9.9 GB	95	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 14.3 GB	14	4
Faqih R1 14B Islamic AI	128K / 29.6 GB	4144	0
QwQ 14B Math V0.2	128K / 29.7 GB	147	15
Qwen Carpmuscle V0.3	128K / 29.7 GB	7	0
Qwen2.5 14B Bnb 4bit	128K / 9.9 GB	108292	5
...till Qwen 14B Unsloth Bnb 4bit	128K / 14.2 GB	11411	30
Shed Coder 0.2	128K / 9.9 GB	16	0

Note: green Score (e.g. "73.2") means that the model is better than WasamiKirua/Samantha2.0-Qwen2.5-14B-ita-16bit.