All tags
Model: "openhermes-2.5"
The Dissection of Smaug (72B)
smaug-72b qwen-1.0 qwen-1.5 gpt-4 mistral-7b miqumaid wizardlm_evol_instruct_v2_196k openhermes-2.5 abacus-ai hugging-face nous-research laion thebloke lm-studio intel nvidia elevenlabs fine-tuning model-merging quantization web-ui model-conversion hardware-setup privacy image-generation optical-character-recognition prompt-engineering bindureddy
Abacus AI launched Smaug 72B, a large finetune of Qwen 1.0, which remains unchallenged on the Hugging Face Open LLM Leaderboard despite skepticism from Nous Research. LAION introduced a local voice assistant model named Bud-E with a notable demo. The TheBloke Discord community discussed model performance trade-offs between large models like GPT-4 and smaller quantized models, fine-tuning techniques using datasets like WizardLM_evol_instruct_V2_196k and OpenHermes-2.5, and challenges in web UI development and model merging involving Mistral-7b and MiquMaid. The LM Studio Discord highlighted issues with model conversion from PyTorch to gguf, hardware setups involving Intel Xeon CPUs and Nvidia P40 GPUs, privacy concerns, and limitations in image generation and web UI availability.
12/11/2023: Mixtral beats GPT3.5 and Llama2-70B
mixtral-8x7b gpt-4 gpt-3.5-turbo llama-3 openhermes-2.5 llava-v1.5-13b-gptq mistral-ai openai huggingface sparse-mixture-of-experts fine-tuning quantization gpu-hardware transformers model-deployment open-source coding-datasets
Mistral AI announced the Mixtral 8x7B model featuring a Sparse Mixture of Experts (SMoE) architecture, sparking discussions on its potential to rival GPT-4. The community debated GPU hardware options for training and fine-tuning transformer models, including RTX 4070s, A4500, RTX 3090s with nvlink, and A100 GPUs. Interest was expressed in fine-tuning Mixtral and generating quantized versions, alongside curating high-quality coding datasets. Resources shared include a YouTube video on open-source model deployment, an Arxiv paper, GitHub repositories, and a blog post on Mixture-of-Experts. Discussions also touched on potential open-source releases of GPT-3.5 Turbo and llama-3, and running OpenHermes 2.5 on Mac M3 Pro with VRAM considerations.