4bit Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... En Endpoints compatible Gguf Llama Lora Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth
Fine Tuning Bebidas 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)
Fine Tuning Bebidas Parameters and Internals
| LLM Name | Fine Tuning Bebidas |
| Repository 🤗 | https://huggingface.co/Tales-Alves/Fine_Tuning_Bebidas |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-10-18 |
| Maintainer | Tales-Alves |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | 4bit|gguf |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj|down_proj|up_proj|gate_proj|o_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Fine Tuning Bebidas
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| TalktoaiZERO | 0K / 16.1 GB | 365 | 3 |
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| Genesist 8B EarlyPrototype 0.3 | 0K / 16.1 GB | 86 | 0 |
| Llama 3 8B Chat Doctor | 0K / 16.1 GB | 20 | 0 |
| Llama 3 8B Chat Doctor | 0K / 16.1 GB | 5 | 0 |
| Llama 3 8B Chat Me | 0K / 16.1 GB | 42 | 0 |
| Llama 3 8B Chat Doctor | 0K / 16.1 GB | 10 | 0 |
| Llama 3 8B Chat Doctor | 0K / 16.1 GB | 105 | 0 |
| Llm Nl To Cmd | 0K / 16.1 GB | 13 | 0 |
| 2 | 0K / 16.1 GB | 34 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Tales-Alves/Fine_Tuning_Bebidas .
Rank the Fine Tuning Bebidas Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803