What are the hardware requirements for Phi3 Translator Merged3?

Phi3 Translator Merged3 requires approximately 55 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 Phi3 Translator Merged3 and how large is it?

Phi3 Translator Merged3 is developed by RyotaKadoya1993, 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 Phi3 Translator Merged3?

Phi3 Translator Merged3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi3 Translator Merged3 by RyotaKadoya1993 — VRAM 55GB, 4K context

Name: Phi3 Translator Merged3
Author: RyotaKadoya1993

Phi3 Translator Merged3 is an open-source language model by RyotaKadoya1993. Features: 14b LLM, VRAM: 55GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Conversational En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/RyotaKadoya1993/phi3_translator_merged3

Phi3 Translator Merged3 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl

Additional Notes

This Mistral model was trained 2x faster using the Unsloth and Huggingface's TRL library.

LLM Name	Phi3 Translator Merged3
Repository 🤗	https://huggingface.co/RyotaKadoya1993/phi3_translator_merged3
Base Model(s)	unsloth/phi-3-medium-4k-instruct unsloth/phi-3-medium-4k-instruct
Model Size	14b
Required VRAM	55 GB
Updated	2026-07-23
Maintainer	RyotaKadoya1993
Model Type	mistral
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-12 4.8 GB: 2-of-12 4.7 GB: 3-of-12 4.8 GB: 4-of-12 4.7 GB: 5-of-12 4.8 GB: 6-of-12 4.7 GB: 7-of-12 4.8 GB: 8-of-12 4.7 GB: 9-of-12 4.8 GB: 10-of-12 4.7 GB: 11-of-12 2.8 GB: 12-of-12
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi3 Translator Merged3 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 Phi3 Translator Merged3

Best Alternatives	Context / RAM	Downloads	Likes
...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
...2.9.2 Phi 3 Medium Abliterated	4K / 28 GB	8285	24
Phi 3 Medium Llamaish	4K / 28 GB	22	0
Arsh V1	4K / 28 GB	1123	1
...ll Phi 3 Medium 4K Inst Philos	4K / 28 GB	7	0
...antha2.0 Phi3 Medium Ita 16bit	4K / 28 GB	2604	0
Phi 3 Unsloth Finetune 7	4K / 28 GB	7	0
Phi 3 Unsloth Finetune 6	4K / 28 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than RyotaKadoya1993/phi3_translator_merged3.