Mistral 7B
The best 7B model to date, Apache 2.0
Mistral 7B launched on September 29, 2023 with 111 votes, #581 of 4,228 launches that month and more than 75% of that year's launches.
What it does
Mistral 7B is a 7.3B parameter model that: • Outperforms Llama 2 13B on all benchmarks • Outperforms Llama 1 34B on many benchmarks • Approaches CodeLlama 7B performance on code, while remaining good at English tasks
Does a similar job
all alternatives →
Llama 3.3 70B2024 · developer.meta.com · ▲347Llama 405B-level performance, at a fraction of the cost
Finetune LLaMA-7B on commodity GPUs using your own text2023 · github.com · ▲449I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
80% faster, 50% less memory, 0% loss of accuracy Llama finetuning2023 · github.com · ▲385Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
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Source: Product Hunt launch ↗
