Rank the DeepCNCFQuantized Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
Best Alternatives to DeepCNCFQuantized
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| SeaLLM 7B V2.5 | 69.07 | 8K / 17.1 GB | 16130 | 45 |
| SauerkrautLM Gemma 7B | 67.83 | 8K / 17.1 GB | 4873 | 13 |
| Gemma Ko 7B Instruct V0.62 | 67.8 | 8K / 17 GB | 2687 | 2 |
| EveryoneLLM 7B Gemma Base | 66.69 | 8K / 17.1 GB | 1094 | 2 |
| Volare | 64.65 | 8K / 17.1 GB | 2111 | 2 |
| Gemma 7B Alpaca Case 0 2 | 64.47 | 8K / 34 GB | 811 | 0 |
| Gemma Orchid 7B DPO | 64.37 | 8K / 17.1 GB | 910 | 6 |
| Gemma 7B Experiment | 64.29 | 8K / 17.1 GB | 821 | 0 |
| Gemma 7B Ultrachat Sft | 63.92 | 8K / 17.1 GB | 826 | 2 |
| Gemma 7B | 63.75 | 8K / 17.1 GB | 193829 | 2965 |
Note: green Score (e.g. "73.2") means that the model is better than Kubermatic/DeepCNCFQuantized .
DeepCNCFQuantized Parameters and Internals
| LLM Name | DeepCNCFQuantized |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 5.3 GB |
| Updated | 2024-07-01 |
| Maintainer | Kubermatic |
| Model Type | gemma |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4|q4_k |
| Model Architecture | GemmaForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Initializer Range | 0.02 |
| Torch Data Type | float32 |
What open-source LLMs or SLMs are you in search of? 34238 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801