Alignment-handbook Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Dataset:huggingfaceh4/ultracha... Endpoints compatible Generated from trainer Llama Lora Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/terry69/llama5p
Llama5p 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)
Llama5p Parameters and Internals
| Additional Notes |
| |||
| Training Details |
|
| LLM Name | Llama5p |
| Repository 🤗 | https://huggingface.co/terry69/llama5p |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0 GB |
| Updated | 2025-02-18 |
| Maintainer | terry69 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | llama3 |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|up_proj|v_proj|q_proj|k_proj|o_proj|down_proj |
| LoRA Alpha | 8 |
| LoRA Dropout | 0.05 |
| R Param | 6 |
Best Alternatives to Llama5p
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trillama 8B | 8K / 16.1 GB | 179 | 3 |
| AutogenJune2000 | 8K / 33.8 GB | 7 | 0 |
| Llama3 8B | 8K / 16.1 GB | 5 | 0 |
| Medllama3 V20 | 0K / 16.1 GB | 25631 | 69 |
| Autotrain Pvqlj Odah2 | 0K / 0.2 GB | 18 | 0 |
| 500tiao 100lun | 0K / 0.2 GB | 7 | 0 |
| Codelica | 0K / 16.1 GB | 111 | 0 |
| ModeliCo 8B | 0K / 16.1 GB | 11 | 2 |
| TalktoaiQT | 0K / 16.1 GB | 33 | 2 |
| MotherEarth Proverbs 1.0 8B | 0K / 16.1 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than terry69/llama5p .
Rank the Llama5p Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227