Pygmalion 13b 4 bit. 1 contributor; History: 3 commits.
Pygmalion 13b 4 bit Installation also couldn't be simpler. In the case of the model you chose, the important part is it is 13b, which is the middle size for LLaMA (7b, 13b, 30b). PyTorch. Scales and mins are quantized with 6 bits. The Metharme models were an experiment to try and get a model that is usable for conversation, roleplaying and storywriting, but which can be guided using natural language like Pygmalion has been four bit quantizized. 0GB of RAM. Third client was male. This is an experimental new GPTQ 30B 4-bit CUDA 128g: tmpupload/superhot-30b-8k-4bit-128g-safetensors; Training Details I trained the LoRA with the following configuration: 1200 samples (~400 samples over 2048 sequence length) Pygmalion 13b is a dialogue ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. 1: wikitext: 4096: pygmalion-13b-4bit-128g. Download the 1-click (and it means it) installer for Oobabooga HERE. pygmalion. As the UI indicate, you have to put the HuggingFace username and model path of your choice in the Download I've tested 7B on oobabooga with a RTX 3090 and it's really good, going to try 13B with int8 later, and I've got 65B downloading for when FlexGen support is implemented. 5GB, Context: 2K, License: So i tried to run the "notstoic_pygmalion-13b-4bit-128g " model without any success. About AWQ AWQ is an efficient, accurate and blazing-fast TehVenom's merge of PygmalionAI's Pygmalion 13B GGML These files are GGML format model files for TehVenom's merge of PygmalionAI's Pygmalion 13B. gptq-4bit-64g-actorder_True: 4: 64: Yes: 0. 4. Pygmalion 13B A conversational LLaMA fine-tune. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. This ends up effectively using 2. So, I decided to do a clean install of the 0cc4m KoboldAI fork to try and get this done properly. Not only Pygmalion 2 13B - GPTQ Model creator: PygmalionAI; Original model: Pygmalion 2 13B; Description 4-bit, with Act Order and group size 32g. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Model card Files Files and versions Community 9 Train Deploy Use this model main pygmalion-13b-4bit-128g / 4bit-128g. Model card Files Files and versions Community 9 Train Deploy Use this model main pygmalion-13b-4bit-128g. Text Generation Transformers Safetensors. Scales are Pygmalion 13b is a dialogue model based on Meta's LLaMA-13b. Anything less than 12gb will limit you to 6-7b 4bit models, which are pretty disappointing. Open-Orca/OpenOrca. Poor AutoGPTQ CUDA speed. Pygmalion 7b-4bit-128g is With 12GB of VRAM, you can load any 13B model with 4-bit quantinization or a smaller one. 1. GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. If you are going this route and want to Hey. Details and insights about Pygmalion 13B 4bit 128g LLM by notstoic: benchmarks, internals, and performance insights. Thanks TheBloke!! Edit: After a bit of testing, Manticore-Pygmalion 13B is performing very well in TavernAI. like 145. "4bit" means it is "compressed", which sacrifices a little bit of intelligence for being much smaller and faster (Most people run 4bit models at this point). 5, 1 and 2 respectively to get I was using pygmalion 13b with ooba and sillytavern and found that the pygmalion preset is not very good in my opinion. safetensors. llama. Suppose your have Ryzen 5 5600X processor and DDR4-3200 RAM python3 gptj. Uses even less VRAM than 64g, but with slightly lower accuracy. People in the The best bet for a (relatively) cheap card for both AI and gaming is a 12GB 3060. Inference API (serverless) has been turned off for this model. text-generation-inference. 4x size reduction and the efficient quantization enables the model to run on devices with 8GB of RAM (not VRAM!). 5625 bits per weight (bpw) GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. This model was created in collaboration with Gryphe, a mixture of our Pygmalion-2 13B and Gryphe's Mythomax L2 13B. Inference API (serverless) has been turned off for this model. cpp is an implementation of the popular language model, Pygmalion 6B, in C/C++. 1 contributor; History: 3 commits. Quantized from the decoded pygmalion-13b xor format. 4096 19 sample_packing: true 20 wandb_project: pygmalion-2-13b 21 wandb_entity: pygmalion_ai 22 output_dir: /home/data Pygmalion 2 13B SuperCOT2 - GGUF Model creator: royallab; Original model: Pygmalion 2 13B SuperCOT2; Block scales and mins are quantized with 4 bits. py models/pygmalion-6b_dev c4 --wbits 4 --groupsize 128 --save_safetensors models/pygmalion-6b_dev-4bit-128g. SuperHOT is a new system that employs RoPE to expand context beyond what was originally possible for a model. It has been fine-tuned using a subset of the data from Pygmalion-6B-v8-pt4, for those of you familiar with the project. Transformers. Applying the XORs The model weights in this repository cannot be used as-is. Awesome! I had been waiting for something that mixed Pygmalion with more coherent models to hopefully fix some of the downfalls of Pygmalion 13B when it comes to coherency while still keeping the emoting and roleplaying aspects. It won't download them or anything. notstoic Pygmalion-2-13B-AWQ. System theme Company. Gives highest possible inference quality, with maximum VRAM usage. Pygmalion 2 13B SuperCOT2 - GPTQ Model creator: royallab; Original model: Pygmalion 2 13B SuperCOT2; Description 4-bit, with Act Order and group size 128g. It is the result of quantising to 4bit using GPTQ-for-LLaMa. Block scales and mins are quantized with 4 bits. Then I installed the pygmalion 7b model and put it in the models folder. Scales are Below are the Pygmalion hardware requirements for 4-bit quantization: For 7B Parameter Models. See translation. First, for the GPTQ version, you'll want a decent GPU with at least 6GB VRAM. The panel to download the model of your choice is on the right. Intel/low_bit_open_llm_leaderboard. Saved searches Use saved searches to filter your results more quickly Of course, it took a little bit to get up and running, but for the past few months we’ve been ceaselessly working on both our website and new models, making sure to send the latter through many rounds of human testing. 1: wikitext: Metharme 13B An instruction-tuned LLaMA biased towards fiction writing and conversation. I downloaded Wizard 13B Mega Q5 and was surprised at the very decent results on my lowly Macbook Pro M1 16GB. I installed it. English llama text generation instruct text-generation-inference License: llama2. jondurbin/airoboros-gpt4-1. The weights provided here are quantized down to 4-bit integers (from the original 16-bit floating points) - the 6. Pygmalion 2 13B - AWQ Model creator: PygmalionAI; Original model: Pygmalion 2 13B; Description This repo contains AWQ model files for PygmalionAI's Pygmalion 2 13B. Model Details Metharme 13B is an instruct model based on Meta's LLaMA-13B. Model card Files Files and versions So your 6b model at 16 bit precision (which is 2 bytes) = 6 x 2 = ~12 GB VRAM (it will probably be a little more when factoring in overhead). databricks/databricks-dolly-15k. The current Pygmalion-13b has been trained as a LoRA, then merged down to the base model for distribuition. Actually, it won't ANY model. The most common precision are 4 bit, 8 bit and 16 bit so you can multiply a model by 0. Ooba booga Supports 4bit models out of the box, useful interface for technical stuff. Same goes to any other language model that's 13b-4bit-128g for some reason. First, I re-tested the official Llama 2 models again as a baseline, now that I've got a new PC that can run 13B 8-bit or 34B 4-bit quants at great speeds: Llama-2-13B-chat Q8_0: MonGirl Help Clinic, Roleplay: No analysis, and when asked for it, it didn't adhere to the template, instead talked as User occasionally. This is an experiment to try and get a model that is usable for conversation, roleplaying and storywriting, but which can be guided using natural language like other instruct models. Finer details of the merge are available in Pygmalion 2 13B SuperCOT Weighed - GGUF Model creator: royallab; Original model: Pygmalion 2 13B SuperCOT Weighed; GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Example: notstoic/pygmalion-13b pygmalion-13b-4bit-128g. pygmalion-13b-4bit-128g. And I don't see the 8-bit or 4-bit toggles. like 142. With 12GB of VRAM, you can load any 13B model with 4-bit quantinization or a smaller one. Features: 13b LLM, VRAM: 7. I'll try the Pygmalion-2-13B-SuperCOT-GGUF when I have time. This allows the large language model to run directly on the CPU. These are SuperHOT GGMLs with an increased context length. Text Generation. Either that, or just These files are GPTQ 4bit model files for TehVenom's merge of PygmalionAI's Pygmalion 13B merged with Kaio Ken's SuperHOT 8K. Overall not that bad but a bit disappointing, I was expecting better after the roleplay the old Pygmalion 6B was able to offer me a few months ago. However, with only 8GB VRAM, a 13b-4bit model likely will not fully We’re on a journey to advance and democratize artificial intelligence through open source and open science. The model will output X-rated content. This ends up using 4. Norquinal/claude_multiround_chat_30k. License: other. CUDA Out of memory. Either that, or just stick with llamacpp, run the model in system memory, and just use your GPU for a 38 votes, 19 comments. As the UI indicate, you have to put the HuggingFace username and model path of your choice in the Download custom model or LorA box. The choice is up to you. Pygmalion-2 13B (formerly known as Metharme) is based on Llama-2 13B released by Meta AI. This is version 1. PygmalionAI/PIPPA. My go to presets after extensively testing them all are usually shortwave or naive. Model Details Pygmalion 13B is a dialogue model based on Meta's LLaMA-13B. English. 2 pygmalion-13b-4bit-128g Model description Warning: THIS model is NOT suitable for use by minors. If the 7B Pygmalion-13B-SuperHOT-8K-fp16 model is what you're after, you gotta think about hardware in two ways. py no such line(( and if I copy it there it is no effect. 5 bpw. safetensors Downloads last month 49 Inference Examples Text Generation. Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. For example, a 4-bit 7B billion parameter Pygmalion model takes up around 4. gptq-4bit-32g-actorder_True: 4: 32: Yes: 0. Will test out the Pygmalion 13B model as I've tried the 7B and it was good but preferred the overall knowledge and consistency of the Wizard 13B model (only used both somewhat sparingly though) Edit: This new model is awesome. What this means is, you can run it on a tiny amount of VRAM and it runs blazing fast. like 0. TOS The best bet for a (relatively) cheap card for both AI and gaming is a 12GB 3060. Model card Files Files and versions Community 9 Train Deploy Use this model #4 opened over 1 year ago by snoopydev. notstoic. Edit Preview. Now as you guess, my preference goes to Mythalion 13B GGUF, answers were nicer, sometimes really creative AND interesting. CMD_FLAGS = '--chat --groupsize 128 --wbits 4 --model notstoic_pygmalion-13b-4bit-128g --model_type Llama' same error, however in my webui. But when I run Kobold, it won't load that model. xkbu bvllgz sejq qcxck sduj vxsbh vyyv crxdy glvsk abfugxa