All You Need To Know About Running LLMs Locally

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1. Sign-up for NVIDIA's Virtual GTC2024 session between Mar 18 - 21st
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TensorRT LLM
[Code] https://github.com/NVIDIA/TensorRT-LLM
[Getting Started Blog] https://nvda.ws/3O7f8up
[Dev Blog] https://nvda.ws/490uadi

Chat with RTX
[Download] https://nvda.ws/3OHPRHE
[Blog] https://nvda.ws/3whKZTb

Links:
[Oobabooga] https://github.com/oobabooga/text-gen...
[SillyTavern] https://github.com/SillyTavern/SillyT...
[LM Studio] https://lmstudio.ai/
[Axolotl] https://github.com/OpenAccess-AI-Coll...
[Llama Factory] https://github.com/hiyouga/LLaMA-Factory
[HuggingFace] https://huggingface.co/models
[AWQ] https://github.com/mit-han-lab/llm-awq
[ExLlamav2] https://github.com/turboderp/exllamav2
[GGUF] https://github.com/ggerganov/ggml/blo...
[GPTQ] https://github.com/IST-DASLab/gptq
[LlamaCpp] https://github.com/ggerganov/llama.cpp
[vllm] https://github.com/vllm-project/vllm
[TensorRT LLM] https://github.com/NVIDIA/TensorRT-LLM
[Chat with RTX] https://www.nvidia.com/en-us/ai-on-rt...
[LlamaIndex] https://github.com/run-llama/llama_index
[Continue.dev] https://continue.dev/

Model recommendations (I know you are here after DeepSeek):
[All DeepSeek Models] https://huggingface.co/collections/de...
[Easily Download with Ollama] https://ollama.com/library/deepseek-r1
Here's the rule of thumb to know if you can run it:
If your VRAM is larger than the model GB size * 1.2, than you can run that model size locally.
Eg. DeepSeek-7B = 4.7GB then 4.7*1.2=5.64, so if your GPU has 8GB VRAM, since 8GB is bigger than 5.64, you can run DeepSeek-7B.
Check out my latest video on DeepSeek-R1 to understand the context better!

(the following are all outdated)
Just use Llama-3.1 instead for everything.
[Llama-3.1] https://huggingface.co/collections/me...
Translation can try Aya 23
[Aya 23] https://huggingface.co/CohereForAI/ay...

(the following are all outdated)
[Nous-Hermes-llama-2-7b] https://huggingface.co/NousResearch/N...
[Openchat-3.5-0106] https://huggingface.co/openchat/openc...
[SOLAR-10.7B-Instruct-v1.0] https://huggingface.co/upstage/SOLAR-...
[Google Gemma] https://huggingface.co/google/gemma-7b
[Mixtral-8x7B-Instruct-v0.1] https://huggingface.co/mistralai/Mixt...
[Deepseek-coder-33b-instruct] https://huggingface.co/deepseek-ai/de...
[Colbertv2.0] https://huggingface.co/colbert-ir/col...


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