4-bit Autotrain compatible Base model:neversleep/noromaid... Base model:quantized:neverslee... Gptq Llama Quantized Region:us Safetensors
Noromaid 13B V0.1.1 GPTQ 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 GPTQ Parameters and Internals
| LLM Name | Noromaid 13B V0.1.1 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Noromaid-13B-v0.1.1-GPTQ |
| Model Name | Noromaid 13B v0.1.1 |
| Model Creator | NeverSleep |
| Base Model(s) | |
| Model Size | 13b |
| Required VRAM | 7.3 GB |
| Updated | 2024-10-18 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| 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 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 13B 128K GPTQ | 128K / 7.3 GB | 20 | 16 |
| LongAlign 13B 64K GPTQ | 64K / 7.3 GB | 8 | 1 |
| ...boros L2 13B 2 1 YaRN 64K GPTQ | 64K / 7.3 GB | 14 | 3 |
| Yarn Llama 2 13B 64K GPTQ | 64K / 7.3 GB | 6 | 1 |
| OrcaMaid V3 13B 32K GPTQ | 32K / 7.3 GB | 10 | 3 |
| OrcaMaid V2 FIX 13B 32K GPTQ | 32K / 7.3 GB | 6 | 4 |
| EverythingLM 13B 16K GPTQ | 16K / 7.3 GB | 28 | 13 |
| ...zardCoder Python 13B V1.0 GPTQ | 16K / 7.3 GB | 3155 | 76 |
| Tinybra 13B GPTQ 32g 4BIT | 16K / 8 GB | 11 | 1 |
| Tinybra 13B GPTQ 4BIT | 16K / 7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Noromaid-13B-v0.1.1-GPTQ .
Rank the Noromaid 13B V0.1.1 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803