Bling Phi 1 5 V0 by llmware

 ยป  All LLMs  ยป  llmware  ยป  Bling Phi 1 5 V0   URL Share it on

Bling Phi 1 5 V0 is an open-source language model by llmware. Features: LLM, VRAM: 2.8GB, License: other, LLM Explorer Score: 0.11.

  Custom code   Phi-msft   Pytorch   Region:us

Bling Phi 1 5 V0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bling Phi 1 5 V0 (llmware/bling-phi-1_5-v0)
๐ŸŒŸ Advertise your project ๐Ÿš€

Bling Phi 1 5 V0 Parameters and Internals

Model Type 
RAG-Instruct
Use Cases 
Areas:
enterprise automation
Applications:
financial services, legal, regulatory industries
Primary Use Cases:
question-answering, key-value extraction, basic summarization
Additional Notes 
Designed for rapid prototyping in RAG scenarios, providing a 'drop-in' replacement for RAG specific use cases with other similar models.
Supported Languages 
English (Proficient)
Training Details 
Methodology:
RAG-instruct training on top of Microsoft Phi-1.5B base model, fine-tuned with high-quality custom instruct datasets.
LLM NameBling Phi 1 5 V0
Repository ๐Ÿค—https://huggingface.co/llmware/bling-phi-1_5-v0 
Required VRAM2.8 GB
Updated2026-03-29
Maintainerllmware
Model Typephi-msft
Model Files  2.8 GB
Model ArchitecturePhiForCausalLM
Licenseother
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

Best Alternatives to Bling Phi 1 5 V0

Best Alternatives
Context / RAM
Downloads
Likes
Merlin1.32K / 5.6 GB2560
Merlin1.22K / 5.6 GB2280
Merlin1.52K / 5.6 GB1260
Merlin1.42K / 5.6 GB500
Phi1.5 Quantized 22K /  GB50
Tinyllama Quant2K / 0.8 GB141
Phi1.5 Update 42K /  GB60
Phi 2 Fp82K / 3.3 GB890
Phi 2 Fp82K / 3.3 GB60
Phi 2 Int8 Ov2K / 0 GB220
Note: green Score (e.g. "73.2") means that the model is better than llmware/bling-phi-1_5-v0.

Rank the Bling Phi 1 5 V0 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52509 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a