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Phi 3 Medium Llamaish by Ba2han

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Phi 3 Medium Llamaish is an open-source language model by Ba2han. Features: 14b LLM, VRAM: 28GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.14, Arc: 67.4, HellaSwag: 85.6, MMLU: 77.9, GSM8K: 80.4.

  Conversational   Dataset:ba2han/dollyllama-5k Dataset:sao10k/claude-3-opus-i...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Ba2han/Phi-3-Medium-Llamaish 

Phi 3 Medium Llamaish Benchmarks

ARC: 67.41 vs 96.7 (so35)-30.3%
HellaSwag: 85.6 vs 95.3 (gpt4)-10.2%
MMLU: 77.86 vs 88.3 (so35)-11.8%
GSM8K: 80.36 vs 96.4 (so35)-16.6%
LLME Score: 0.13923
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Medium Llamaish (Ba2han/Phi-3-Medium-Llamaish)
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Phi 3 Medium Llamaish Parameters and Internals

Model Type 
text generation
Additional Notes 
GGUF coming soon. (Via Unsloth)
Supported Languages 
en (Supported)
Training Details 
Data Sources:
Sao10K/Claude-3-Opus-Instruct-15K, Ba2han/DollyLlama-5k
Methodology:
trained mostly on llama-3-70B generated multi-turn conversations with system messages
Input Output 
Input Format:
supports system messages
LLM NamePhi 3 Medium Llamaish
Repository 🤗https://huggingface.co/Ba2han/Phi-3-Medium-Llamaish 
Model Size14b
Required VRAM28 GB
Updated2026-05-17
MaintainerBa2han
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Ba2han/Phi-3-Medium-Llamaish.

Rank the Phi 3 Medium Llamaish Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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