Merged Model Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jenniellama/carbide-tebet-loki
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").
What is the LLM Explorer Rank (Score)
Carbide Tebet Loki Parameters and Internals
| LLM Name | Carbide Tebet Loki |
| Repository 🤗 | https://huggingface.co/jenniellama/carbide-tebet-loki |
| Merged Model | Yes |
| Model Size | 6.1b |
| Required VRAM | 12.1 GB |
| Updated | 2025-09-23 |
| Maintainer | jenniellama |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Carbide Tebet Loki
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CantoneseLLMChat V0.5 | 4K / 24.2 GB | 5 | 9 |
| ...ntoneseLLMChat Preview20240326 | 4K / 12.1 GB | 5 | 12 |
| Open Lilm V2 | 4K / 24.2 GB | 2 | 2 |
| Yi6 | 4K / 12.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jenniellama/carbide-tebet-loki .
Rank the Carbide Tebet Loki Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124