Merged Model Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/MR-Eder/GRAG-MERGED-SO-PHI-3.5-MINI-4B-SFTxORPO-HESSIAN-AI
GRAG MERGED SO PHI 3.5 MINI 4B SFTxORPO HESSIAN AI 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)
GRAG MERGED SO PHI 3.5 MINI 4B SFTxORPO HESSIAN AI Parameters and Internals
| LLM Name | GRAG MERGED SO PHI 3.5 MINI 4B SFTxORPO HESSIAN AI |
| Repository 🤗 | https://huggingface.co/MR-Eder/GRAG-MERGED-SO-PHI-3.5-MINI-4B-SFTxORPO-HESSIAN-AI |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 4b |
| Required VRAM | 7.7 GB |
| Updated | 2024-12-28 |
| Maintainer | MR-Eder |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to GRAG MERGED SO PHI 3.5 MINI 4B SFTxORPO HESSIAN AI
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SJT 4B | 146K / 7.6 GB | 7 | 0 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 11 | 3 |
| ...ama 3.1 Minitron 4B Width Base | 128K / 9 GB | 16479 | 189 |
| ...ama 3.1 Minitron 4B Depth Base | 128K / 9.1 GB | 8706 | 21 |
| Nemotron W 4b Halo 0.1 | 128K / 9.2 GB | 5 | 3 |
| Loxa 4B | 128K / 16 GB | 9 | 0 |
| Aura 4B | 128K / 9 GB | 4 | 10 |
| Hamanasu KTO 4B | 128K / 9 GB | 142 | 0 |
| Hamanasu Magnum 4B | 128K / 9 GB | 32 | 3 |
| 4B Inst E1 | 128K / 9 GB | 47 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MR-Eder/GRAG-MERGED-SO-PHI-3.5-MINI-4B-SFTxORPO-HESSIAN-AI .
Rank the GRAG MERGED SO PHI 3.5 MINI 4B SFTxORPO HESSIAN AI Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227