2bit Autotrain compatible Base model:cognitivecomputatio... Base model:finetune:cognitivec... Endpoints compatible Llama Pruna-ai Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-Samantha-1.11-7b-HQQ-2bit-smashed
Cognitivecomputations Samantha 1.11 7B HQQ 2bit Smashed 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)
Cognitivecomputations Samantha 1.11 7B HQQ 2bit Smashed Parameters and Internals
| Additional Notes |
|
| LLM Name | Cognitivecomputations Samantha 1.11 7B HQQ 2bit Smashed |
| Repository 🤗 | https://huggingface.co/PrunaAI/cognitivecomputations-Samantha-1.11-7b-HQQ-2bit-smashed |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.3 GB |
| Updated | 2025-05-15 |
| Maintainer | PrunaAI |
| Model Type | llama |
| Model Files | |
| Quantization Type | 2bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-Samantha-1.11-7b-HQQ-2bit-smashed .
Rank the Cognitivecomputations Samantha 1.11 7B HQQ 2bit Smashed Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227