What are the hardware requirements for Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2?

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 requires approximately 1.6 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 Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 and how large is it?

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 is developed by Zoyd. 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 Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2?

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 by Zoyd — VRAM 1.6GB, 4K context

Name: Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2
Author: Zoyd

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 is an open-source language model by Zoyd. Features: LLM, VRAM: 1.6GB, Context: 4K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

3-bit Code Conversational Custom code Endpoints compatible Exl2 Instruct Multilingual Phi3 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Zoyd/failspy_Phi-3-mini-4k-geminified-3_0bpw_exl2

Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 Parameters and Internals

Model Type

text-generation

Additional Notes

The model uses orthogonalized bfloat16 safetensor weights, with a methodology described in the paper/blog post 'Refusal in LLMs is mediated by a single direction'.

Supported Languages

multilingual (Yes)

LLM Name	Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2
Repository 🤗	https://huggingface.co/Zoyd/failspy_Phi-3-mini-4k-geminified-3_0bpw_exl2
Required VRAM	1.6 GB
Updated	2026-08-06
Maintainer	Zoyd
Model Type	phi3
Instruction-Based	Yes
Model Files	1.6 GB
Quantization Type	exl2
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Failspy Phi 3 Mini 4K Geminified 3 0bpw EXL2 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

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Note: green Score (e.g. "73.2") means that the model is better than Zoyd/failspy_Phi-3-mini-4k-geminified-3_0bpw_exl2.