8-bit Autotrain compatible Cognitivess Conversational En Endpoints compatible Lora Model-index Peft Qlora Region:us Ro Safetensors Sentiment analysis Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/CognitivessAI/cognitivess
Cognitivess 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)
Cognitivess Parameters and Internals
| LLM Name | Cognitivess |
| Repository 🤗 | https://huggingface.co/CognitivessAI/cognitivess |
| Model Size | 8b |
| Required VRAM | 11.2 GB |
| Updated | 2025-01-24 |
| Maintainer | CognitivessAI |
| Model Type | CognitivessForCausalLM |
| Model Files | |
| Supported Languages | en ro |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|eot_id|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Cognitivess
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trillama 8B | 8K / 16.1 GB | 66 | 3 |
| AutogenJune2000 | 8K / 33.8 GB | 6 | 0 |
| Llama3 8B | 8K / 16.1 GB | 5 | 0 |
| Medllama3 V20 | 0K / 16.1 GB | 21065 | 53 |
| Autotrain Pvqlj Odah2 | 0K / 0.2 GB | 18 | 0 |
| 500tiao 100lun | 0K / 0.2 GB | 5 | 0 |
| Codelica | 0K / 16.1 GB | 111 | 0 |
| ModeliCo 8B | 0K / 16.1 GB | 13 | 2 |
| MotherEarth Proverbs 1.0 8B | 0K / 16.1 GB | 20 | 0 |
| Llama31 Eros | 0K / 16.1 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than CognitivessAI/cognitivess .
Rank the Cognitivess Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227