Autotrain compatible Conversational Dataset:argilla/distilabel-mat... En Endpoints compatible Exl2 Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Sakura SOLAR Instruct DPO V2.8.0bpw H8 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)
Sakura SOLAR Instruct DPO V2.8.0bpw H8 EXL2 Parameters and Internals
| LLM Name | Sakura SOLAR Instruct DPO V2.8.0bpw H8 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Sakura-SOLAR-Instruct-DPO-v2-8.0bpw-h8-exl2 |
| Required VRAM | 10.9 GB |
| Updated | 2024-09-19 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Sakura SOLAR Instruct DPO V2.8.0bpw H8 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3.5 Instruct Vul | 128K / 7.6 GB | 40 | 0 |
| ...ene Phi 3.5 Mini Instruct Orpo | 128K / 7.6 GB | 33 | 1 |
| Reverse Instruct | 32K / 27 GB | 7 | 3 |
| Codellama Cairo Instruct GGUF | 16K / 4.1 GB | 23 | 0 |
| Etri Ones Solar | 4K / 42.9 GB | 90 | 0 |
| Law Chat | 4K / 27 GB | 909 | 33 |
| Phi 3 Orpo V8.16 | 4K / 7.6 GB | 5 | 0 |
| Small Instruct | 4K / 2.9 GB | 4276 | 1 |
| Airavata GGUF | 4K / 4.2 GB | 10 | 1 |
| Finance Chat GGUF | 4K / 2.8 GB | 171 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Sakura-SOLAR-Instruct-DPO-v2-8.0bpw-h8-exl2 .
Rank the Sakura SOLAR Instruct DPO V2.8.0bpw H8 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803