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Phi 3 Vision 128K Instruct No Flash Attn by ggcristian

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Phi 3 Vision 128K Instruct No Flash Attn is an open-source language model by ggcristian. Features: 4.1b LLM, VRAM: 8.3GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.14.

  Autotrain compatible   Code   Conversational   Custom code   Instruct   License:mit   Multilingual   Phi3 v   Region:us   Safetensors   Sharded   Tensorflow   Vision
Model Card on HF 🤗: https://huggingface.co/ggcristian/Phi-3-vision-128k-instruct-no-flash-attn 

Phi 3 Vision 128K Instruct No Flash Attn Benchmarks

LLME Score: 0.13714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Vision 128K Instruct No Flash Attn (ggcristian/Phi-3-vision-128k-instruct-no-flash-attn)
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Phi 3 Vision 128K Instruct No Flash Attn Parameters and Internals

LLM NamePhi 3 Vision 128K Instruct No Flash Attn
Repository 🤗https://huggingface.co/ggcristian/Phi-3-vision-128k-instruct-no-flash-attn 
Model Size4.1b
Required VRAM8.3 GB
Updated2024-07-22
Maintainerggcristian
Model Typephi3_v
Instruction-BasedYes
Model Files  4.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitecturePhi3VForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ggcristian/Phi-3-vision-128k-instruct-no-flash-attn.

Rank the Phi 3 Vision 128K Instruct No Flash Attn Capabilities

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Instruction Following and Task Automation  
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