Autotrain Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-... Conversational Endpoints compatible Instruct Llama Lora Peft Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/Lalo11/autotrain-pvqlj-odah2
Autotrain Pvqlj Odah2 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)
Autotrain Pvqlj Odah2 Parameters and Internals
| LLM Name | Autotrain Pvqlj Odah2 |
| Repository 🤗 | https://huggingface.co/Lalo11/autotrain-pvqlj-odah2 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.2 GB |
| Updated | 2024-12-12 |
| Maintainer | Lalo11 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | other |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|down_proj|k_proj|gate_proj|q_proj|v_proj|o_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Autotrain Pvqlj Odah2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.1 8B Instuct Uz | 128K / 16.1 GB | 1000 | 15 |
| ConfTuner Ministral | 0K / 16.1 GB | 25 | 3 |
| 500tiao 100lun | 0K / 0.2 GB | 5 | 0 |
| Llama 3.1 8B Instruct Uz | 0K / 16.1 GB | 1204 | 15 |
| ...8B Instruct Shimshimi 500 Ver2 | 0K / 16.1 GB | 8 | 0 |
| Codelica | 0K / 16.1 GB | 111 | 0 |
| ModeliCo 8B | 0K / 16.1 GB | 1 | 2 |
| ...3.1 8B Instruct Simplicity RAG | 0K / 48.2 GB | 14 | 0 |
| Llama31 Eros | 0K / 16.1 GB | 4 | 1 |
| ...Instruct Persian Finetuned Sft | 0K / 0 GB | 78 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than Lalo11/autotrain-pvqlj-odah2 .
Rank the Autotrain Pvqlj Odah2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124