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README.md

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+---
+base_model: Salesforce/xLAM-8x7b-r
+datasets:
+- Salesforce/xlam-function-calling-60k
+extra_gated_button_content: Agree and access repository
+extra_gated_heading: Acknowledge to follow corresponding license to access the repository
+inference: false
+language:
+- en
+library_name: gguf
+license: cc-by-nc-4.0
+pipeline_tag: text-generation
+quantized_by: legraphista
+tags:
+- function-calling
+- LLM Agent
+- tool-use
+- mistral
+- pytorch
+- quantized
+- GGUF
+- quantization
+- imat
+- imatrix
+- static
+- 16bit
+- 8bit
+- 6bit
+- 5bit
+- 4bit
+- 3bit
+- 2bit
+- 1bit
+---
+
+# xLAM-8x7b-r-IMat-GGUF
+_Llama.cpp imatrix quantization of Salesforce/xLAM-8x7b-r_
+
+Original Model: [Salesforce/xLAM-8x7b-r](https://huggingface.co/Salesforce/xLAM-8x7b-r)    
+Original dtype: `BF16` (`bfloat16`)  
+Quantized by:  llama.cpp [b3647](https://github.com/ggerganov/llama.cpp/releases/tag/b3647)  
+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)
+    - [Simple chat template](#simple-chat-template)
+    - [Chat template with system prompt](#chat-template-with-system-prompt)
+    - [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: ⏳ Processing  
+Link: [here](https://huggingface.co/legraphista/xLAM-8x7b-r-IMat-GGUF/blob/main/imatrix.dat)
+
+### Common Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| xLAM-8x7b-r.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q4_K | Q4_K | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q3_K | Q3_K | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
+
+
+### All Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| xLAM-8x7b-r.BF16 | BF16 | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.FP16 | F16 | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q5_K | Q5_K | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ Static | -
+| xLAM-8x7b-r.Q4_K | Q4_K | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ4_NL | IQ4_NL | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ4_XS | IQ4_XS | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q3_K | Q3_K | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q3_K_L | Q3_K_L | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q3_K_S | Q3_K_S | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ3_M | IQ3_M | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
+| xLAM-8x7b-r.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | -
+
+
+## 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](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: `xLAM-8x7b-r.Q8_0`)
+3. 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](https://x.com/legraphista)!