Model Card on HF 🤗: https://huggingface.co/rmsdud/test-large-data-model-gguf
Test Large Data Model Gguf 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)
Test Large Data Model Gguf Parameters and Internals
| LLM Name | Test Large Data Model Gguf |
| Repository 🤗 | https://huggingface.co/rmsdud/test-large-data-model-gguf |
| Required VRAM | 8.5 GB |
| Updated | 2025-08-15 |
| Maintainer | rmsdud |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Test Large Data Model Gguf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ComicBot V.2 Gguf | 32K / 5 GB | 33 | 0 |
| Qwen3 Medical GRPO GGUF | 0K / 1.7 GB | 585 | 2 |
| Gemma2 WizardLM | 0K / 5.2 GB | 6 | 0 |
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 26964 | 639 |
| Phi 2 GGUF | 0K / 1.2 GB | 80541 | 227 |
| Marco O1 GGUF | 0K / 3 GB | 127 | 6 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 11309 | 303 |
| Mixtral 8x7B V0.1 GGUF | 0K / 15.6 GB | 5093 | 430 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 10130 | 146 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 0 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than rmsdud/test-large-data-model-gguf .
Rank the Test Large Data Model Gguf 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! 🌟
What open-source LLMs or SLMs are you in search of? 51187 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124