Merged Model 4-bit 4bit Autotrain compatible Dataset:hotchpotch/jaqket v1 q... Dataset:shunk031/jglue Endpoints compatible Gptq Instruct Ja Llama Quantized Region:us
Youri 7B Stf Qa Context Jaqket Jsquad 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)
Youri 7B Stf Qa Context Jaqket Jsquad Gptq Parameters and Internals
| LLM Name | Youri 7B Stf Qa Context Jaqket Jsquad Gptq |
| Repository 🤗 | https://huggingface.co/hotchpotch/youri-7b-stf-qa-context-jaqket-jsquad-gptq |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2024-09-07 |
| Maintainer | hotchpotch |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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| ... 7B 32K Instructions V4 Marlin | 32K / 4.1 GB | 15 | 0 |
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| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 71 | 0 |
| ...echless Tora Code 7B V1.0 GPTQ | 16K / 3.9 GB | 9 | 1 |
| CausalLM 7B GPTQ | 8K / 5.9 GB | 28 | 5 |
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| Leo Hessianai 7B Chat GPTQ | 8K / 3.9 GB | 13 | 0 |
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Note: green Score (e.g. "73.2") means that the model is better than hotchpotch/youri-7b-stf-qa-context-jaqket-jsquad-gptq .
Rank the Youri 7B Stf Qa Context Jaqket Jsquad Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803