diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..aee8531e06e50da025bd3816890573c787f29257
--- /dev/null
+++ b/README.md
@@ -0,0 +1,80 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: microsoft/WizardLM-2-8x22B
+tags:
+- exl2
+---
+
+# WizardLM-2-8x22B - EXL2 4.0bpw
+
+This is a 4.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
+
+Details about the model can be found at the above model page.
+
+## EXL2 Version
+
+These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library.
+
+If you have problems loading these models, please update Text Generation WebUI to the latest version.
+
+
+
+## Quant Details
+
+This is the script used for quantization.
+
+```bash
+#!/bin/bash
+
+# Activate the conda environment
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate exllamav2
+
+# Set the model name and bit size
+MODEL_NAME="WizardLM-2-8x22B"
+
+# Define variables
+MODEL_DIR="/mnt/storage/models/$MODEL_NAME"
+OUTPUT_DIR="exl2_$MODEL_NAME"
+MEASUREMENT_FILE="measurements/$MODEL_NAME.json"
+
+# Create the measurement file if needed
+if [ ! -f "$MEASUREMENT_FILE" ]; then
+ echo "Creating $MEASUREMENT_FILE"
+ # Create directories
+ if [ -d "$OUTPUT_DIR" ]; then
+ rm -r "$OUTPUT_DIR"
+ fi
+ mkdir "$OUTPUT_DIR"
+
+ python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
+fi
+
+# Choose one of the below. Either create a single quant for testing or a batch of them.
+# BIT_PRECISIONS=(2.25)
+BIT_PRECISIONS=(5.0 4.5 4.0 3.5 3.0 2.75 2.5 2.25)
+
+for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
+do
+ CONVERTED_FOLDER="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
+
+ # If it doesn't already exist, make the quant
+ if [ ! -d "$CONVERTED_FOLDER" ]; then
+
+ echo "Creating $CONVERTED_FOLDER"
+
+ # Create directories
+ if [ -d "$OUTPUT_DIR" ]; then
+ rm -r "$OUTPUT_DIR"
+ fi
+ mkdir "$OUTPUT_DIR"
+ mkdir "$CONVERTED_FOLDER"
+
+ # Run conversion commands
+ python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
+
+ fi
+done
+```
diff --git a/config.json b/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..48d8c54e2494ec0ef15e1131f2efa35047f776f5
--- /dev/null
+++ b/config.json
@@ -0,0 +1,42 @@
+{
+ "_name_or_path": "",
+ "architectures": [
+ "MixtralForCausalLM"
+ ],
+ "attention_dropout": 0.0,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "hidden_act": "silu",
+ "hidden_size": 6144,
+ "initializer_range": 0.02,
+ "intermediate_size": 16384,
+ "max_position_embeddings": 65536,
+ "model_type": "mixtral",
+ "num_attention_heads": 48,
+ "num_experts_per_tok": 2,
+ "num_hidden_layers": 56,
+ "num_key_value_heads": 8,
+ "num_local_experts": 8,
+ "output_router_logits": false,
+ "rms_norm_eps": 1e-05,
+ "rope_theta": 1000000,
+ "router_aux_loss_coef": 0.001,
+ "router_jitter_noise": 0.0,
+ "sliding_window": null,
+ "tie_word_embeddings": false,
+ "torch_dtype": "bfloat16",
+ "transformers_version": "4.36.2",
+ "use_cache": false,
+ "vocab_size": 32000,
+ "quantization_config": {
+ "quant_method": "exl2",
+ "version": "0.0.18",
+ "bits": 4.0,
+ "head_bits": 6,
+ "calibration": {
+ "rows": 100,
+ "length": 2048,
+ "dataset": "(default)"
+ }
+ }
+}
\ No newline at end of file
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c533f934c6359393a56a3ea067a0df118c14797e
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,6 @@
+{
+ "_from_model_config": true,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "transformers_version": "4.36.2"
+}
diff --git a/model.safetensors.index.json b/model.safetensors.index.json
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index 0000000000000000000000000000000000000000..805c18819ee3c4a51164b634df4f4033c74583ad
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