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Immy V3 by critical-hf

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Immy V3 is an open-source language model by critical-hf. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   En   Endpoints compatible   Instruct   Instruction-following   Llama   Pytorch   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/critical-hf/Immy_v3 

Immy V3 Benchmarks

LLME Score: 0.16287
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Immy V3 (critical-hf/Immy_v3)
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Immy V3 Parameters and Internals

LLM NameImmy V3
Repository 🤗https://huggingface.co/critical-hf/Immy_v3 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B-Instruct   HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size1.7b
Required VRAM3.4 GB
Updated2025-04-11
Maintainercritical-hf
Model Typellama
Instruction-BasedYes
Model Files  3.4 GB   3.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typefloat16

Best Alternatives to Immy V3

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 1.7B Instruct 16K16K / 3.4 GB44910
SmolLM2 1.7B Instruct8K / 3.4 GB104194724
...ygnis Alpha 1.7B V0.1 Instruct8K / 3.4 GB5592
SmolLM2 1.7B Instruct8K / 3.4 GB18534
SmolTulu 1.7B Reinforced8K / 3.4 GB105
SmolLM2 1.7 Persona8K / 3.5 GB110
Penny 1.7B8K / 6.9 GB824
Superthoughts Lite V18K / 3.4 GB123
...ghts Lite 1.8B Experimental O18K / 3.6 GB82
Cllm 1.0.0 340000 Instruct8K / 3.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than critical-hf/Immy_v3.

Rank the Immy V3 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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