What are the hardware requirements for Samantha2.0 Phi3 Medium Ita 16bit?

Samantha2.0 Phi3 Medium Ita 16bit requires approximately 28 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Samantha2.0 Phi3 Medium Ita 16bit and how large is it?

Samantha2.0 Phi3 Medium 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 Phi3 Medium Ita 16bit?

Samantha2.0 Phi3 Medium 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 Phi3 Medium Ita 16bit by WasamiKirua — VRAM 28GB, 4K context

Name: Samantha2.0 Phi3 Medium Ita 16bit
Author: WasamiKirua

Samantha2.0 Phi3 Medium Ita 16bit is an open-source language model by WasamiKirua. Features: 14b LLM, VRAM: 28GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

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

Model Card on HF 🤗: https://huggingface.co/WasamiKirua/Samantha2.0-Phi3-Medium-ita-16bit

Samantha2.0 Phi3 Medium Ita 16bit Parameters and Internals

LLM Name	Samantha2.0 Phi3 Medium Ita 16bit
Repository 🤗	https://huggingface.co/WasamiKirua/Samantha2.0-Phi3-Medium-ita-16bit
Base Model(s)	unsloth/phi-3-medium-4k-instruct-bnb-4bit unsloth/phi-3-medium-4k-instruct-bnb-4bit
Model Size	14b
Required VRAM	28 GB
Updated	2025-04-11
Maintainer	WasamiKirua
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 3.2 GB: 6-of-6
Supported Languages	it
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Samantha2.0 Phi3 Medium Ita 16bit 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 Samantha2.0 Phi3 Medium Ita 16bit

Best Alternatives	Context / RAM	Downloads	Likes
Arsh V1	4K / 28 GB	1123	1
...ll Phi 3 Medium 4K Inst Philos	4K / 28 GB	7	0
Phi 3 Unsloth Finetune 7	4K / 28 GB	7	0
Phi 3 Unsloth Finetune 6	4K / 28 GB	8	0
Phi 3 Unsloth Finetune 5	4K / 28 GB	6	0
Phi 3 Unsloth Finetune 4	4K / 28 GB	8	0
Phi 3 Unsloth Finetuned 3	4K / 28 GB	6	0
...ral Nemo Instruct 14B Merge V1	1000K / 24.6 GB	19	0
Phi 3 Medium 4K Instruct	4K / 28 GB	38	28
...2.9.2 Phi 3 Medium Abliterated	4K / 28 GB	9259	19

Note: green Score (e.g. "73.2") means that the model is better than WasamiKirua/Samantha2.0-Phi3-Medium-ita-16bit.