4-bit Autotrain compatible Awq Base model:neversleep/noromaid... Base model:quantized:neverslee... Llama Quantized Region:us Safetensors
Noromaid 13B V0.1.1 AWQ 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)
Noromaid 13B V0.1.1 AWQ Parameters and Internals
| LLM Name | Noromaid 13B V0.1.1 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Noromaid-13B-v0.1.1-AWQ |
| Model Name | Noromaid 13B v0.1.1 |
| Model Creator | NeverSleep |
| Base Model(s) | |
| Model Size | 13b |
| Required VRAM | 7.2 GB |
| Updated | 2024-10-18 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Noromaid 13B V0.1.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 13B 128K AWQ | 128K / 7.2 GB | 9 | 2 |
| LongAlign 13B 64K AWQ | 64K / 7.2 GB | 7 | 2 |
| ...oboros L2 13B 2 1 YaRN 64K AWQ | 64K / 7.2 GB | 7 | 2 |
| OrcaMaid V3 13B 32K AWQ | 32K / 7.2 GB | 18 | 4 |
| OrcaMaid V2 FIX 13B 32K AWQ | 32K / 7.2 GB | 4 | 1 |
| NexusRaven V2 13B AWQ | 16K / 7.2 GB | 27 | 3 |
| ...th CodeLlama 13B Python Hf AWQ | 16K / 7.5 GB | 8 | 0 |
| WhiteRabbitNeo 13B AWQ | 16K / 7.2 GB | 40 | 4 |
| NexusRaven V2 13B AWQ | 16K / 7.2 GB | 5 | 1 |
| Ramgpt 13B AWQ Gemm | 16K / 7.2 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Noromaid-13B-v0.1.1-AWQ .
Rank the Noromaid 13B V0.1.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803