Autotrain compatible Base model:dad1909/cybersentin... Base model:finetune:dad1909/cy... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/dad1909/cybersentinal-2.0-2
Cybersentinal 2.0 2 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)
Cybersentinal 2.0 2 Parameters and Internals
| LLM Name | Cybersentinal 2.0 2 |
| Repository 🤗 | https://huggingface.co/dad1909/cybersentinal-2.0-2 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-08-05 |
| Maintainer | dad1909 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Cybersentinal 2.0 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 5110 | 682 |
| R2 | 1024K / 16.1 GB | 417 | 0 |
| A4 | 1024K / 16.1 GB | 136 | 0 |
| R7 | 1024K / 16.1 GB | 183 | 0 |
| 101 | 1024K / 16.1 GB | 179 | 0 |
| A12 | 1024K / 16.1 GB | 52 | 0 |
| 240 | 1024K / 16.1 GB | 52 | 0 |
| D7 | 1024K / 16.1 GB | 217 | 0 |
| 105 | 1024K / 16.1 GB | 139 | 0 |
| MrRoboto ProLong 8B V4i | 1024K / 16.1 GB | 66 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than dad1909/cybersentinal-2.0-2 .
Rank the Cybersentinal 2.0 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227