Base model:osmosis-ai/osmosis-... Base model:quantized:osmosis-a... Conversational En Endpoints compatible Gguf Quantized Qwen3 Region:us
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Osmosis-Apply-1.7B-GGUF
Osmosis Apply 1.7B 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)
Osmosis Apply 1.7B GGUF Parameters and Internals
| LLM Name | Osmosis Apply 1.7B GGUF |
| Repository 🤗 | https://huggingface.co/prithivMLmods/Osmosis-Apply-1.7B-GGUF |
| Base Model(s) | |
| Model Size | 1.7b |
| Required VRAM | 0.8 GB |
| Updated | 2025-09-17 |
| Maintainer | prithivMLmods |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Osmosis Apply 1.7B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 1.7B ShiningValiant3 F32 GGUF | 0K / 0.8 GB | 96 | 2 |
| ...Tiny Instruct 1.7B QwQ O1 GGUF | 0K / 1.1 GB | 56 | 3 |
| SmolLM 1.7B Instruct GGUF | 0K / 0.7 GB | 136 | 4 |
| Personal Finance R1 | 0K / 0 GB | 58 | 4 |
| Qwen3 1.7B RP | 0K / 0 GB | 23 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Osmosis-Apply-1.7B-GGUF .
Rank the Osmosis Apply 1.7B 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? 51415 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124