Carbide Tebet Loki by jenniellama

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Carbide Tebet Loki is an open-source language model by jenniellama. Features: 6.1b LLM, VRAM: 12.1GB, Context: 4K, Merged, LLM Explorer Score: 0.13.

  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Carbide Tebet Loki Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Carbide Tebet Loki Parameters and Internals

LLM NameCarbide Tebet Loki
Repository 🤗https://huggingface.co/jenniellama/carbide-tebet-loki 
Merged ModelYes
Model Size6.1b
Required VRAM12.1 GB
Updated2025-09-23
Maintainerjenniellama
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

Best Alternatives to Carbide Tebet Loki

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Note: green Score (e.g. "73.2") means that the model is better than jenniellama/carbide-tebet-loki.

Rank the Carbide Tebet Loki 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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Release v20260328a