Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow
M3 Sft Orca It Base 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)
M3 Sft Orca It Base Parameters and Internals
| LLM Name | M3 Sft Orca It Base |
| Repository 🤗 | https://huggingface.co/antoniomari/m3_sft_orca_it_base |
| Model Size | 2.5b |
| Required VRAM | 10 GB |
| Updated | 2024-09-07 |
| Maintainer | antoniomari |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
Best Alternatives to M3 Sft Orca It Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Test Pb V0 | 8K / 5 GB | 1990 | 0 |
| Test Last | 8K / 5 GB | 1982 | 0 |
| Geko3 | 8K / 5.1 GB | 39 | 0 |
| RLM Hinglish Translator | 8K / 10 GB | 171 | 5 |
| Gemma Ko V01 | 8K / 5.1 GB | 5 | 0 |
| M3 Sft Orca It Base | 8K / 10 GB | 6 | 0 |
| Orca Gemma It DPO | 8K / 10 GB | 5 | 0 |
| Gemma EPFL | 8K / 10 GB | 5 | 0 |
| M3 Sft Gemma | 8K / 10 GB | 6 | 0 |
| M3 Sft DPO | 8K / 10 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than antoniomari/m3_sft_orca_it_base .
Rank the M3 Sft Orca It Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803