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README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/Tn9MBg6.png" alt="MidnightMiqu" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+# Midnight-Miqu-70B-v1.0 - EXL2 4.0bpw
+
+This is a 4.0bpw EXL2 quant of [sophosympatheia/Midnight-Miqu-70B-v1.0](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0)
+
+Details about the model and the merge info can be found at the above mode page.
+
+I have not extensively tested this quant/model other than ensuring I could load it and chat with it.
+
+## Model Loading
+
+Below is what I used to run this model on a dual 3090 Linux server.
+
+![image/jpg](Midnight-Miqu-70B-exl2-40-textgen.jpg)
+
+
+I have not tested inference above a couple K tokens.
+
+## 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
+
+# Define variables
+MODEL_DIR="models/sophosympatheia_Midnight-Miqu-70B-v1.0"
+OUTPUT_DIR="exl2_midnight70b"
+MEASUREMENT_FILE="measurements/midnight70b.json"
+
+BIT_PRECISION=4.0
+CONVERTED_FOLDER="models/Midnight-Miqu-70B_exl2_4.0bpw"
+
+# Create directories
+mkdir $OUTPUT_DIR
+mkdir $CONVERTED_FOLDER
+
+# Run conversion commands
+
+# Below commented out due to using measurement file from 5.0 quant
+#python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
+python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
+```
+

config.json

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+{
+  "_name_or_path": "midnight-miqu-70b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

huggingface-metadata.txt

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+url: https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0
+branch: main
+download date: 2024-03-02 16:23:30
+sha256sum:
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model.safetensors.index.json

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