Candle Phi 1 5 by DanielClough

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Candle Phi 1 5 is an open-source language model by DanielClough. Features: LLM, VRAM: 2.8GB, Context: 2K, License: mit, Quantized, LLM Explorer Score: 0.11.

  Custom code   Dataset:microsoft/phi-1 5   En   Endpoints compatible   Gguf   Phi   Q4   Quantized   Region:us   Sharded   Tensorflow

Candle Phi 1 5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Candle Phi 1 5 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is distributed in `.gguf` format for HuggingFace/Candle implementations and is not compatible with `llama.cpp`.
Supported Languages 
en (English)
LLM NameCandle Phi 1 5
Repository 🤗https://huggingface.co/DanielClough/Candle_phi-1_5 
Required VRAM2.8 GB
Updated2026-04-27
MaintainerDanielClough
Model Typephi
Model Files  2.8 GB   0.5 GB   0.6 GB   0.8 GB   0.9 GB   0.8 GB   1.0 GB   1.1 GB   1.0 GB   1.2 GB   1.5 GB   1.6 GB   1.6 GB   2.8 GB: 1-of-1
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Vocabulary Size51200
Torch Data Typefloat16

Best Alternatives to Candle Phi 1 5

Best Alternatives
Context / RAM
Downloads
Likes
MFANN3bv0.7.10 GGUF2K / 1.6 GB110
Candle Phi 12K / 2.8 GB990
Phi 2 GGUF2K / 1.1 GB2073
Phi 1 5 GGUF0K / 0.6 GB12468
Dolphin 2 6 Phi 2 Candle0K / 0 GB2305
Phi 2 Quantized0K / 1.6 GB22111
Phi 1 5 Q42K /  GB31
Phi 2 Hf 4bit Mlx2K / 1.8 GB1562
Merlin1.42K / 5.6 GB7530
Merlin1.52K / 5.6 GB7300
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_phi-1_5.

Rank the Candle Phi 1 5 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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Release v20260328a