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Phi 3 Mini 4K Emotional Support 4bit Vllm by arg0x

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Phi 3 Mini 4K Emotional Support 4bit Vllm is an open-source language model by arg0x. Features: 2.1b LLM, VRAM: 2.3GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit   4bit Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Bitsandbytes   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/arg0x/phi-3-mini-4k-emotional-support-4bit-vllm 

Phi 3 Mini 4K Emotional Support 4bit Vllm Benchmarks

LLME Score: 0.13566
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Emotional Support 4bit Vllm (arg0x/phi-3-mini-4k-emotional-support-4bit-vllm)
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Phi 3 Mini 4K Emotional Support 4bit Vllm Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Additional Notes 
The model was trained 2x faster using Unsloth and Huggingface's TRL library.
Training Details 
Model Architecture:
finetuned from unsloth/Phi-3-mini-4k-instruct-bnb-4bit
LLM NamePhi 3 Mini 4K Emotional Support 4bit Vllm
Repository 🤗https://huggingface.co/arg0x/phi-3-mini-4k-emotional-support-4bit-vllm 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size2.1b
Required VRAM2.3 GB
Updated2026-04-24
Maintainerarg0x
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than arg0x/phi-3-mini-4k-emotional-support-4bit-vllm.

Rank the Phi 3 Mini 4K Emotional Support 4bit Vllm Capabilities

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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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