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Gemstone 9B by crestf411

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Gemstone 9B is an open-source language model by crestf411. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, LLM Explorer Score: 0.14.

  Autotrain compatible   Conversational   Dataset:lemonilia/limarp   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/crestf411/gemstone-9b 

Gemstone 9B Benchmarks

LLME Score: 0.14029
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemstone 9B (crestf411/gemstone-9b)
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Gemstone 9B Parameters and Internals

LLM NameGemstone 9B
Repository 🤗https://huggingface.co/crestf411/gemstone-9b 
Model Size9b
Required VRAM18.6 GB
Updated2024-09-03
Maintainercrestf411
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
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.43.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Gemstone 9B

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Context / RAM
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G2 GSHT 32K32K / 20.4 GB41
SystemGemma2 9B It32K / 18.6 GB62
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Gemma 2 9B It8K / 18.6 GB413737802
Gemma 2 9B It8K / 18.6 GB70
Gemma 2 9B It SimPO8K / 18.6 GB511172
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Gemma 2 9B It Advanced V2.18K / 20.4 GB1129
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB111
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB160
Note: green Score (e.g. "73.2") means that the model is better than crestf411/gemstone-9b.

Rank the Gemstone 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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