Llama 3.1 8B Instruct Simplicity RAG is an open-source language model by coolcat0. Features: 8b LLM, VRAM: 48.2GB, Instruction-Based, LLM Explorer Score: 0.17.
Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG
Llama 3.1 8B Instruct Simplicity RAG 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)
Llama 3.1 8B Instruct Simplicity RAG Parameters and Internals
| LLM Name | Llama 3.1 8B Instruct Simplicity RAG |
| Repository 🤗 | https://huggingface.co/coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG |
| Model Size | 8b |
| Required VRAM | 48.2 GB |
| Updated | 2025-09-23 |
| Maintainer | coolcat0 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | mlp.down_proj|mlp.up_proj|self_attn.q_proj|self_attn.k_proj|self_attn.o_proj|mlp.gate_proj|self_attn.v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Best Alternatives to Llama 3.1 8B Instruct Simplicity RAG
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.1 8B Instuct Uz | 128K / 16.1 GB | 1000 | 15 |
| ConfTuner Ministral | 0K / 16.1 GB | 4 | 3 |
| Autotrain Pvqlj Odah2 | 0K / 0.2 GB | 18 | 0 |
| 500tiao 100lun | 0K / 0.2 GB | 5 | 0 |
| ...8B Instruct Shimshimi 500 Ver2 | 0K / 16.1 GB | 6 | 0 |
| Codelica | 0K / 16.1 GB | 111 | 0 |
| ModeliCo 8B | 0K / 16.1 GB | 6 | 2 |
| Llama31 Eros | 0K / 16.1 GB | 8 | 1 |
| ...Instruct Persian Finetuned Sft | 0K / 0 GB | 78 | 6 |
| Llama 3.1 8b Prop Logic Ft | 0K / 0.2 GB | 2 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG .
Rank the Llama 3.1 8B Instruct Simplicity RAG Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51638 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20241124