Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
xLAM-8x7b-r.Q8_0/*	Q8_0	49.63GB	✅ Available	⚪ Static	✂ Yes
xLAM-8x7b-r.Q6_K.gguf	Q6_K	38.38GB	✅ Available	⚪ Static	📦 No
xLAM-8x7b-r.Q4_K.gguf	Q4_K	28.45GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q3_K.gguf	Q3_K	22.55GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q2_K.gguf	Q2_K	17.31GB	✅ Available	🟢 IMatrix	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
xLAM-8x7b-r.BF16/*	BF16	93.41GB	✅ Available	⚪ Static	✂ Yes
xLAM-8x7b-r.FP16/*	F16	93.41GB	✅ Available	⚪ Static	✂ Yes
xLAM-8x7b-r.Q8_0/*	Q8_0	49.63GB	✅ Available	⚪ Static	✂ Yes
xLAM-8x7b-r.Q6_K.gguf	Q6_K	38.38GB	✅ Available	⚪ Static	📦 No
xLAM-8x7b-r.Q5_K.gguf	Q5_K	33.23GB	✅ Available	⚪ Static	📦 No
xLAM-8x7b-r.Q5_K_S.gguf	Q5_K_S	32.23GB	✅ Available	⚪ Static	📦 No
xLAM-8x7b-r.Q4_K.gguf	Q4_K	28.45GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q4_K_S.gguf	Q4_K_S	26.75GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ4_NL.gguf	IQ4_NL	26.51GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ4_XS.gguf	IQ4_XS	25.08GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q3_K.gguf	Q3_K	22.55GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q3_K_L.gguf	Q3_K_L	24.17GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q3_K_S.gguf	Q3_K_S	20.43GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ3_M.gguf	IQ3_M	21.43GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ3_S.gguf	IQ3_S	20.43GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ3_XS.gguf	IQ3_XS	19.35GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ3_XXS.gguf	IQ3_XXS	18.24GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q2_K.gguf	Q2_K	17.31GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.Q2_K_S.gguf	Q2_K_S	16.03GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ2_M.gguf	IQ2_M	15.50GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ2_S.gguf	IQ2_S	14.13GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ2_XS.gguf	IQ2_XS	13.92GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ2_XXS.gguf	IQ2_XXS	12.56GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ1_M.gguf	IQ1_M	10.85GB	✅ Available	🟢 IMatrix	📦 No
xLAM-8x7b-r.IQ1_S.gguf	IQ1_S	9.82GB	✅ 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/xLAM-8x7b-r-IMat-GGUF --include "xLAM-8x7b-r.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/xLAM-8x7b-r-IMat-GGUF --include "xLAM-8x7b-r.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Simple chat template

<s> [INST] {user_prompt} [/INST] {assistant_response}</s> [INST] {next_user_prompt} [/INST]

Chat template with system prompt

<s> [INST] {system_prompt}

{user_prompt} [/INST] {assistant_response}</s> [INST] {next_user_prompt} [/INST]

Llama.cpp

llama.cpp/main -m xLAM-8x7b-r.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, 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?

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
Locate your GGUF chunks folder (ex: xLAM-8x7b-r.Q8_0)
Run gguf-split --merge xLAM-8x7b-r.Q8_0/xLAM-8x7b-r.Q8_0-00001-of-XXXXX.gguf xLAM-8x7b-r.Q8_0.gguf
- Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!