3-bit Autotrain compatible Base model:athirdpath/harmonia... Base model:quantized:athirdpat... Endpoints compatible Exl2 Generated from trainer Llama Pytorch Quantized Region:us
Harmonia No Robots 20B 3.0bpw H6 EXL2 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)
Harmonia No Robots 20B 3.0bpw H6 EXL2 Parameters and Internals
| LLM Name | Harmonia No Robots 20B 3.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Harmonia-no_robots-20b-3.0bpw-h6-exl2 |
| Base Model(s) | |
| Model Size | 20b |
| Required VRAM | 7.8 GB |
| Updated | 2024-09-07 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | float16 |
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| InternLM2 Chat 20B ToxicRP | 32K / 39.9 GB | 5 | 0 |
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| ... Unquirked 20B 4.25bpw H8 EXL2 | 4K / 11 GB | 4 | 1 |
| ...Cetacean 20B V2.4.0bpw H6 EXL2 | 4K / 10.3 GB | 4 | 1 |
| DaringMaid 20B V1.1 4bpw EXL2 | 4K / 10.4 GB | 5 | 2 |
| DaringMaid 20B V1.1 3bpw EXL2 | 4K / 7.9 GB | 4 | 1 |
| DaringMaid 20B 6bpw EXL2 | 4K / 15.3 GB | 8 | 2 |
| DaringMaid 20B 3bpw EXL2 | 4K / 7.9 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Harmonia-no_robots-20b-3.0bpw-h6-exl2 .
Rank the Harmonia No Robots 20B 3.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803