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Pensez V0.1 E5 by HoangHa

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Pensez V0.1 E5 is an open-source language model by HoangHa. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2310.05914   Arxiv:2503.13661 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Dataset:hoangha/pensez-v0.1   En   Endpoints compatible   Fr   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HoangHa/Pensez-v0.1-e5 

Pensez V0.1 E5 Benchmarks

LLME Score: 0.18164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pensez V0.1 E5 (HoangHa/Pensez-v0.1-e5)
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Pensez V0.1 E5 Parameters and Internals

LLM NamePensez V0.1 E5
Repository 🤗https://huggingface.co/HoangHa/Pensez-v0.1-e5 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-04-23
MaintainerHoangHa
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen fr
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151667
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Pensez V0.1 E5

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB136
COCO 7B Instruct 1M986K / 15.2 GB194
Apollo 7B986K / 15.2 GB150
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB150
Note: green Score (e.g. "73.2") means that the model is better than HoangHa/Pensez-v0.1-e5.

Rank the Pensez V0.1 E5 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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