Abliterated Conversational Custom ai Endpoints compatible Gguf Llama Llama3 Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/vimalnar/aware-ai-1st
Aware Ai 1st 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)
Aware Ai 1st Parameters and Internals
| LLM Name | Aware Ai 1st |
| Repository 🤗 | https://huggingface.co/vimalnar/aware-ai-1st |
| Required VRAM | 16.1 GB |
| Updated | 2026-01-12 |
| Maintainer | vimalnar |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Aware Ai 1st
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| KernelLLM GGUF | 128K / 2.2 GB | 1643 | 2 |
| LLAMA2 GOOD GGUF | 16K / 4.8 GB | 17 | 0 |
| Codellama Cairo Instruct GGUF | 16K / 4.1 GB | 6 | 1 |
| ...LaMA3 Iterative DPO Final GGUF | 8K / 16.1 GB | 3 | 1 |
| MFANNv0.6 GGUF | 8K / 4.7 GB | 5 | 0 |
| Tinyllama Coder Py V15 | 4K / 0.7 GB | 112 | 0 |
| UlizaLlama Q4 K M Gguf | 4K / 4.2 GB | 21 | 0 |
| Tinyllama Coder Py V16 | 4K / 0.7 GB | 10 | 0 |
| Cancer Llama.5 Llm | 4K / 4.1 GB | 10 | 0 |
| Sakura SOLAR Instruct GGUF | 4K / 4.5 GB | 803 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than vimalnar/aware-ai-1st .
Rank the Aware Ai 1st Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124