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---
title: README
emoji: 🔥
colorFrom: purple
colorTo: purple
sdk: static
pinned: true
---
These are my own quantizations (updated almost daily).
The difference with normal quantizations is that I quantize the output and embed tensors to f16.
and the other tensors to 15_k,q6_k or q8_0.
This creates models that are little or not degraded at all and have a smaller size.
They run at about 3-6 t/sec on CPU only using llama.cpp
And obviously faster on computers with potent GPUs
ALL the models were quantized in this way:
quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q5.gguf q5_k
quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q6.gguf q6_k
quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q6.gguf q8_0
and there is also a pure f16 in every directory.
* [ZeroWw/Meta-Llama-3-8B-Instruct-abliterated-v3-GGUF](https://huggingface.co/ZeroWw/Meta-Llama-3-8B-Instruct-abliterated-v3-GGUF)
* [ZeroWw/Hathor_Stable-v0.2-L3-8B-GGUF](https://huggingface.co/ZeroWw/Hathor_Stable-v0.2-L3-8B-GGUF)
* [ZeroWw/L3-Aethora-15B-V2-GGUF](https://huggingface.co/ZeroWw/L3-Aethora-15B-V2-GGUF)
* [ZeroWw/L3-8B-Stheno-v3.3-32K-GGUF](https://huggingface.co/ZeroWw/L3-8B-Stheno-v3.3-32K-GGUF)
* [ZeroWw/Llama-3-8B-Instruct-Gradient-1048k-GGUF](https://huggingface.co/ZeroWw/Llama-3-8B-Instruct-Gradient-1048k-GGUF)
* [ZeroWw/Pythia-Chat-Base-7B-GGUF](https://huggingface.co/ZeroWw/Pythia-Chat-Base-7B-GGUF)
* [ZeroWw/Yi-1.5-6B-Chat-GGUF](https://huggingface.co/ZeroWw/Yi-1.5-6B-Chat-GGUF)
* [ZeroWw/DeepSeek-Coder-V2-Lite-Base-GGUF](https://huggingface.co/ZeroWw/DeepSeek-Coder-V2-Lite-Base-GGUF)
* [ZeroWw/Yi-1.5-9B-32K-GGUF](https://huggingface.co/ZeroWw/Yi-1.5-9B-32K-GGUF)
* [ZeroWw/aya-23-8B-GGUF](https://huggingface.co/ZeroWw/aya-23-8B-GGUF)
* [ZeroWw/MixTAO-7Bx2-MoE-v8.1-GGUF](https://huggingface.co/ZeroWw/MixTAO-7Bx2-MoE-v8.1-GGUF)
* [ZeroWw/Phi-3-medium-128k-instruct-GGUF](https://huggingface.co/ZeroWw/Phi-3-medium-128k-instruct-GGUF)
* [ZeroWw/Phi-3-mini-128k-instruct-GGUF](https://huggingface.co/ZeroWw/Phi-3-mini-128k-instruct-GGUF)
* [ZeroWw/Qwen1.5-7B-Chat-GGUF](https://huggingface.co/ZeroWw/Qwen1.5-7B-Chat-GGUF)
* [ZeroWw/NeuralDaredevil-8B-abliterated-GGUF](https://huggingface.co/ZeroWw/NeuralDaredevil-8B-abliterated-GGUF)
* [ZeroWw/Mistroll-7B-v2.2-GGUF](https://huggingface.co/ZeroWw/Mistroll-7B-v2.2-GGUF)
* [ZeroWw/Samantha-Qwen-2-7B-GGUF](https://huggingface.co/ZeroWw/Samantha-Qwen-2-7B-GGUF)
* [ZeroWw/Meta-Llama-3-8B-Instruct-GGUF](https://huggingface.co/ZeroWw/Meta-Llama-3-8B-Instruct-GGUF)
* [ZeroWw/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF](https://huggingface.co/ZeroWw/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF)
* [ZeroWw/microsoft_WizardLM-2-7B-GGUF](https://huggingface.co/ZeroWw/microsoft_WizardLM-2-7B-GGUF)
* [ZeroWw/Mistral-7B-Instruct-v0.3-GGUF](https://huggingface.co/ZeroWw/Mistral-7B-Instruct-v0.3-GGUF) |