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Model 4 by Sakalti

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Model 4 is an open-source language model by Sakalti. Features: 1.5b LLM, VRAM: 3.6GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.17.

  Merged Model   Arxiv:2306.01708   Base model:qwen/qwen2.5-1.5b Base model:qwen/qwen2.5-1.5b-i...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/model-4 

Model 4 Benchmarks

LLME Score: 0.16537
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model 4 (Sakalti/model-4)
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Model 4 Parameters and Internals

LLM NameModel 4
Repository 🤗https://huggingface.co/Sakalti/model-4 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B
Merged ModelYes
Model Size1.5b
Required VRAM3.6 GB
Updated2026-05-02
MaintainerSakalti
Model Typeqwen2
Model Files  1.0 GB: 1-of-4   1.0 GB: 2-of-4   1.0 GB: 3-of-4   0.6 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Model 4

Best Alternatives
Context / RAM
Downloads
Likes
ReaderLM V2500K / 3.1 GB14849779
Reader Lm 1.5B250K / 3.1 GB566608
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB8307481465
VibeThinker 1.5B128K / 3.5 GB2025520
Ko R1 1.5B Preview128K / 7.1 GB159
Qwen2.5 1.5B128K / 3.1 GB914961176
AceInstruct 1.5B128K / 3.5 GB7688020
Qwen2 1.5B128K / 3.1 GB127243102
1.5B Cold Start SFT128K / 3.5 GB45030
OpenReasoning Nemotron 1.5B128K / 3.1 GB793456
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/model-4.

Rank the Model 4 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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