README.md · legraphista/K2-ckpt_360-IMat-GGUF at main

K2-ckpt_360-IMat-GGUF / README.md

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	---
	base_model: LLM360/K2
	inference: false
	language:
	- en
	library_name: gguf
	license: apache-2.0
	pipeline_tag: text-generation
	quantized_by: legraphista
	tags:
	- nlp
	- llm
	- quantized
	- GGUF
	- imatrix
	- quantization
	- imat
	- imatrix
	- static
	- 16bit
	- 8bit
	- 6bit
	- 5bit
	- 4bit
	- 3bit
	- 2bit
	- 1bit
	---

	# K2-ckpt_360-IMat-GGUF
	_Llama.cpp imatrix quantization of LLM360/K2_

	Original Model: [LLM360/K2](https://huggingface.co./LLM360/K2/tree/ckpt_360) branch `ckpt_360`
	Original dtype: `FP16` (`float16`)
	Quantized by: llama.cpp [b3058](https://github.com/ggerganov/llama.cpp/releases/tag/b3058)
	IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)

	- [Files](#files)
	- [IMatrix](#imatrix)
	- [Common Quants](#common-quants)
	- [All Quants](#all-quants)
	- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
	- [Inference](#inference)
	- [Llama.cpp](#llama-cpp)
	- [FAQ](#faq)
	- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
	- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)

	---

	## Files

	### IMatrix
	Status: ✅ Available
	Link: [here](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/imatrix.dat)

	### Common Quants
	\| Filename \| Quant type \| File Size \| Status \| Uses IMatrix \| Is Split \|
	\| -------- \| ---------- \| --------- \| ------ \| ------------ \| -------- \|
	\| [K2-ckpt_360.Q8_0/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.Q8_0) \| Q8_0 \| 69.37GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q6_K/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.Q6_K) \| Q6_K \| 53.56GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q4_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q4_K.gguf) \| Q4_K \| 39.35GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q3_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q3_K.gguf) \| Q3_K \| 31.63GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q2_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q2_K.gguf) \| Q2_K \| 24.11GB \| ✅ Available \| 🟢 IMatrix \| 📦 No


	### All Quants
	\| Filename \| Quant type \| File Size \| Status \| Uses IMatrix \| Is Split \|
	\| -------- \| ---------- \| --------- \| ------ \| ------------ \| -------- \|
	\| [K2-ckpt_360.FP16/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.FP16) \| F16 \| 130.58GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q8_0/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.Q8_0) \| Q8_0 \| 69.37GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q6_K/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.Q6_K) \| Q6_K \| 53.56GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q5_K/*](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/tree/main/K2-ckpt_360.Q5_K) \| Q5_K \| 46.24GB \| ✅ Available \| ⚪ Static \| ✂ Yes
	\| [K2-ckpt_360.Q5_K_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q5_K_S.gguf) \| Q5_K_S \| 44.92GB \| ✅ Available \| ⚪ Static \| 📦 No
	\| [K2-ckpt_360.Q4_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q4_K.gguf) \| Q4_K \| 39.35GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q4_K_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q4_K_S.gguf) \| Q4_K_S \| 37.06GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ4_NL.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ4_NL.gguf) \| IQ4_NL \| 36.80GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ4_XS.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ4_XS.gguf) \| IQ4_XS \| 34.76GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q3_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q3_K.gguf) \| Q3_K \| 31.63GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q3_K_L.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q3_K_L.gguf) \| Q3_K_L \| 34.65GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q3_K_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q3_K_S.gguf) \| Q3_K_S \| 28.16GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ3_M.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ3_M.gguf) \| IQ3_M \| 29.83GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ3_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ3_S.gguf) \| IQ3_S \| 28.16GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ3_XS.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ3_XS.gguf) \| IQ3_XS \| 26.64GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ3_XXS.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ3_XXS.gguf) \| IQ3_XXS \| 24.67GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q2_K.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q2_K.gguf) \| Q2_K \| 24.11GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.Q2_K_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.Q2_K_S.gguf) \| Q2_K_S \| 21.98GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ2_M.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ2_M.gguf) \| IQ2_M \| 22.41GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ2_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ2_S.gguf) \| IQ2_S \| 20.78GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ2_XS.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ2_XS.gguf) \| IQ2_XS \| 19.27GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ2_XXS.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ2_XXS.gguf) \| IQ2_XXS \| 17.47GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ1_M.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ1_M.gguf) \| IQ1_M \| 15.43GB \| ✅ Available \| 🟢 IMatrix \| 📦 No
	\| [K2-ckpt_360.IQ1_S.gguf](https://huggingface.co./legraphista/K2-ckpt_360-IMat-GGUF/blob/main/K2-ckpt_360.IQ1_S.gguf) \| IQ1_S \| 14.21GB \| ✅ Available \| 🟢 IMatrix \| 📦 No


	## Downloading using huggingface-cli
	If you do not have hugginface-cli installed:
	```
	pip install -U "huggingface_hub[cli]"
	```
	Download the specific file you want:
	```
	huggingface-cli download legraphista/K2-ckpt_360-IMat-GGUF --include "K2-ckpt_360.Q8_0.gguf" --local-dir ./
	```
	If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
	```
	huggingface-cli download legraphista/K2-ckpt_360-IMat-GGUF --include "K2-ckpt_360.Q8_0/*" --local-dir ./
	# see FAQ for merging GGUF's
	```

	---

	## Inference

	### Llama.cpp
	```
	llama.cpp/main -m K2-ckpt_360.Q8_0.gguf --color -i -p "prompt here"
	```

	---

	## FAQ

	### Why is the IMatrix not applied everywhere?
	According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

	### How do I merge a split GGUF?
	1. Make sure you have `gguf-split` available
	- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
	- Download the appropriate zip for your system from the latest release
	- Unzip the archive and you should be able to find `gguf-split`
	2. Locate your GGUF chunks folder (ex: `K2-ckpt_360.Q8_0`)
	3. Run `gguf-split --merge K2-ckpt_360.Q8_0/K2-ckpt_360.Q8_0-00001-of-XXXXX.gguf K2-ckpt_360.Q8_0.gguf`
	- Make sure to point `gguf-split` to the first chunk of the split.

	---

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