Arxiv:1910.09700 4bit Autotrain compatible Conversational Endpoints compatible Finetuned Instruct Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Phi 3 Unsloth Finetune 5 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)
Phi 3 Unsloth Finetune 5 Parameters and Internals
| LLM Name | Phi 3 Unsloth Finetune 5 |
| Repository 🤗 | https://huggingface.co/Tien09/phi_3_unsloth_finetune_5 |
| Model Size | 14b |
| Required VRAM | 28 GB |
| Updated | 2024-09-06 |
| Maintainer | Tien09 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 3 Unsloth Finetune 5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Unsloth Finetune 7 | 4K / 28 GB | 5 | 0 |
| Phi 3 Unsloth Finetune 6 | 4K / 28 GB | 6 | 0 |
| Phi 3 Unsloth Finetune 4 | 4K / 28 GB | 6 | 0 |
| Phi 3 Unsloth Finetuned 3 | 4K / 28 GB | 6 | 0 |
| ...ral Nemo Instruct 14B Merge V1 | 1000K / 24.6 GB | 19 | 0 |
| ...2.9.2 Phi 3 Medium Abliterated | 4K / 28 GB | 5258 | 16 |
| Phi 3 Medium 4K Instruct | 4K / 28 GB | 366 | 26 |
| Phi3 Translator Merged3 | 4K / 55 GB | 5 | 0 |
| Phi 3 Medium Llamaish | 4K / 28 GB | 2 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Tien09/phi_3_unsloth_finetune_5 .
Rank the Phi 3 Unsloth Finetune 5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803