What are the hardware requirements for Phi3 Short Story Merged Bfloat16?

Phi3 Short Story Merged Bfloat16 requires approximately 7.6 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 Short Story Merged Bfloat16 and how large is it?

Phi3 Short Story Merged Bfloat16 is developed by oztrkoguz, a model with 3.8b 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 Short Story Merged Bfloat16?

Phi3 Short Story Merged Bfloat16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi3 Short Story Merged Bfloat16 by oztrkoguz — VRAM 7.6GB, 4K context

Name: Phi3 Short Story Merged Bfloat16
Author: oztrkoguz

Phi3 Short Story Merged Bfloat16 is an open-source language model by oztrkoguz. Features: 3.8b LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.12.

Merged Model Dataset:oztrkoguz/short-story En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/oztrkoguz/phi3_short_story_merged_bfloat16

Phi3 Short Story Merged Bfloat16 Parameters and Internals

Model Type

text2text-generation

Supported Languages

en (Proficient)

LLM Name	Phi3 Short Story Merged Bfloat16
Repository 🤗	https://huggingface.co/oztrkoguz/phi3_short_story_merged_bfloat16
Merged Model	Yes
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2026-08-03
Maintainer	oztrkoguz
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi3 Short Story Merged Bfloat16 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 Short Story Merged Bfloat16

Best Alternatives	Context / RAM	Downloads	Likes
Phi 3 Mini 4K Instruct	4K / 7.6 GB	1789	45
Llama Phi 3 DoRA	4K / 7.6 GB	26	6
Empty Phi 3 Mini	4K / 7.6 GB	10	0
...ling Assistant Spanish Pofi V2	4K / 7.7 GB	15	0
Phi 3 Mini 4K Instruct Orpo V2	4K / 14.9 GB	5	1
Tonmai GPT	4K / 7.6 GB	314	0
Wandaa V02 Merged	4K / 7.6 GB	28	0
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	14	2
...ent V56 3 W Unknown 5 Lr 0.002	4K / 7.6 GB	7	0
...Word Problems 200K Model 16bit	4K / 7.6 GB	3879	0

Note: green Score (e.g. "73.2") means that the model is better than oztrkoguz/phi3_short_story_merged_bfloat16.