4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... En Endpoints compatible Lora Mistral Quantized Region:us Safetensors Trl Unsloth
Cognitive Hacker0.2 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)
Cognitive Hacker0.2 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Cognitive Hacker0.2 |
| Repository 🤗 | https://huggingface.co/ebowwa/cognitive-hacker0.2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2024-11-21 |
| Maintainer | ebowwa |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|down_proj|up_proj|q_proj|k_proj|o_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Cognitive Hacker0.2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen 2.1 7B Persona Lora Model | 0K / 0.2 GB | 0 | 1 |
| Qwen2.5 7B Exp2 Lora Model | 0K / 0.2 GB | 0 | 1 |
| Qwen 2.5 7B Rp Lora | 0K / 0.2 GB | 0 | 1 |
| Text Completion | 0K / 2.4 GB | 0 | 1 |
| Cognitive Hacker | 0K / 0.2 GB | 0 | 1 |
| Lora Model | 0K / 0.2 GB | 0 | 1 |
| Mistral 7B Bnb 4bit Lora Model | 0K / 0.2 GB | 0 | 1 |
| Mistral Sharegpt90k | 0K / 0.2 GB | 31 | 0 |
| Swahili Gemma Lora | 0K / 0.2 GB | 0 | 2 |
| Gemma Swahili Mollel 1 Epoch | 0K / 0.2 GB | 0 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than ebowwa/cognitive-hacker0.2 .
Rank the Cognitive Hacker0.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110