Arxiv:1910.09700 4-bit 4bit Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Bitsandbytes Endpoints compatible Llama Lora Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/SnehaPriyaaMP/AI-Train-Repo
AI Train Repo 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)
AI Train Repo Parameters and Internals
| LLM Name | AI Train Repo |
| Repository 🤗 | https://huggingface.co/SnehaPriyaaMP/AI-Train-Repo |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.8 GB |
| Updated | 2025-09-23 |
| Maintainer | SnehaPriyaaMP |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|q_proj|v_proj|o_proj|down_proj|up_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to AI Train Repo
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lora Model 1 | 8K / 5.8 GB | 5 | 0 |
| ...3 Project Management Assistant | 0K / 0.2 GB | 13 | 3 |
| LLAMA3 Vuln Detection | 0K / 0.2 GB | 5 | 0 |
| Educate Ai V2 | 0K / 0.2 GB | 5 | 0 |
| Llama3 8B Myfine | 0K / 16.1 GB | 7 | 0 |
| ...ama 3 8B Instruct Bnb Telcom 3 | 0K / 0.2 GB | 6 | 0 |
| Model Name | 0K / 16.1 GB | 5 | 0 |
| Llama30 | 0K / 16.1 GB | 5 | 0 |
| Llama26 | 0K / 16.1 GB | 5 | 0 |
| Llama24 | 0K / 16.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than SnehaPriyaaMP/AI-Train-Repo .
Rank the AI Train Repo Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124