What are the hardware requirements for Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2?

Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 requires approximately 7.7 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.

Where can I download or evaluate Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2?

Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 by Bluckr — VRAM 7.7GB, 4K context

Name: Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2
Author: Bluckr

Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 is an open-source language model by Bluckr. Features: 3.8b LLM, VRAM: 7.7GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.12.

Chat Code Conversational Dataset:bluckr/function-callin... Endpoints compatible Es Function-call Instruct Mistral Phi-3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2

Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 Parameters and Internals

Model Type

text generation, function calling

Additional Notes

Pofi is adjusted to behave like an assistant with a focus on function calling methods. It has various utilities like setting alarms, connecting to the web, sending and creating files, among others.

Supported Languages

es (primary)

Training Details

Methodology:

fine-tuned version of unsloth/Phi-3-mini-4k-instruct

LLM Name	Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2
Repository 🤗	https://huggingface.co/Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2026-08-25
Maintainer	Bluckr
Model Type	mistral
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-4 2.0 GB: 2-of-4 2.0 GB: 3-of-4 1.7 GB: 4-of-4
Supported Languages	es
Model Architecture	MistralForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2 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 Phi 3 Mini 4K Instruct Function Calling Assistant Spanish Pofi V2

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
...i3 Short Story Merged Bfloat16	4K / 7.6 GB	10	1
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 Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2.