4-bit Autotrain compatible Base model:jphme/em german leo... Base model:quantized:jphme/em ... De Deutsch German Gptq Leolm Mistral Pytorch Quantized Region:us Safetensors
Em German Leo Mistral 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)
Em German Leo Mistral GPTQ Parameters and Internals
| LLM Name | Em German Leo Mistral GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/em_german_leo_mistral-GPTQ |
| Model Name | EM German Leo Mistral |
| Model Creator | Jan Philipp Harries |
| Base Model(s) | |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2024-10-18 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| Supported Languages | de |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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| ... Finetune 16bit Ver9 Main GPTQ | 32K / 4.2 GB | 5 | 0 |
| Dictalm2.0 Instruct GPTQ | 32K / 4.2 GB | 75 | 0 |
| Dictalm2.0 GPTQ | 32K / 4.2 GB | 58 | 0 |
| Multi Verse Model GPTQ | 32K / 4.2 GB | 55 | 1 |
| Garrulus GPTQ | 32K / 4.2 GB | 64 | 3 |
| Turdus GPTQ | 32K / 4.2 GB | 12 | 5 |
| HamSter 0.1 GPTQ | 32K / 4.2 GB | 9 | 2 |
| Phoenix GPTQ | 32K / 4.2 GB | 10 | 1 |
| Mistral Ft Optimized 1227 GPTQ | 32K / 4.2 GB | 8 | 2 |
| ...hat 3.5 1210 Seraph Slerp GPTQ | 32K / 4.2 GB | 5 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/em_german_leo_mistral-GPTQ .
Rank the Em German Leo Mistral GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803