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Velma 9B by AmirMohseni

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Velma 9B is an open-source language model by AmirMohseni. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, LLM Explorer Score: 0.17.

  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational   Dataset:openai/gsm8k   Endpoints compatible   Gemma2   Generated from trainer   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/AmirMohseni/Velma-9b 

Velma 9B Benchmarks

LLME Score: 0.16627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Velma 9B (AmirMohseni/Velma-9b)
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Velma 9B Parameters and Internals

LLM NameVelma 9B
Repository 🤗https://huggingface.co/AmirMohseni/Velma-9b 
Model NameVelma-9b
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2025-11-22
MaintainerAmirMohseni
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4   0.0 GB
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Velma 9B

Best Alternatives
Context / RAM
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Likes
G2 GSHT 32K32K / 20.4 GB61
SystemGemma2 9B It32K / 18.6 GB62
GWQ 9B Preview28K / 18.6 GB1310
Gemma 2 9B It8K / 18.6 GB262937781
Gemma 2 9B It8K / 18.6 GB60
Gemma 2 9B It SimPO8K / 18.6 GB410172
Turkish Gemma 9B T18K / 18.6 GB49652175
Gemma 2 9B8K / 37.1 GB83831672
Gemma 2 9B It Advanced V2.18K / 20.4 GB428
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB530
Note: green Score (e.g. "73.2") means that the model is better than AmirMohseni/Velma-9b.

Rank the Velma 9B 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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