Autotrain compatible Base model:mrdayl/opencogito Base model:quantized:mrdayl/op... Conversational En Endpoints compatible Gguf Grpo Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/mrdayl/OpenCognito
OpenCognito Benchmarks
MMLU Pro: 27.15
GPQA: 6.38
MUSR: 12.43
BBH: 25.99
IFEval: 40.62 vs 88 (so35)-53.8%
MATH Lvl 5: 21.15
LLME Score: 0.29883
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)
OpenCognito Parameters and Internals
| LLM Name | OpenCognito |
| Repository 🤗 | https://huggingface.co/mrdayl/OpenCognito |
| Base Model(s) | |
| Model Size | 3.1b |
| Required VRAM | 6.2 GB |
| Updated | 2025-03-26 |
| Maintainer | mrdayl |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to OpenCognito
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba Passthrough 2 | 128K / 6.2 GB | 7 | 0 |
| OpenCognito R2 | 32K / 6.2 GB | 259 | 0 |
| TethysAI Vortex Reasoning | 32K / 6.2 GB | 11 | 0 |
| Bbhqwen | 32K / 12.3 GB | 7 | 0 |
| Bbhqwen2 | 32K / 12.3 GB | 6 | 0 |
| Bbhqwen4 | 32K / 12.3 GB | 8 | 0 |
| Bbhqwen5 | 32K / 12.3 GB | 5 | 0 |
| Bbhqwen3 | 32K / 12.3 GB | 6 | 0 |
| Bbhqwen6 | 32K / 12.3 GB | 7 | 0 |
| Tamed Sigma | 32K / 6.2 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mrdayl/OpenCognito .
Rank the OpenCognito Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124