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README.md

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+---
+library_name: transformers
+language:
+- en
+license: unknown
+tags:
+- exl2
+---
+
+# miqu-1-70b-sf - EXL2 2.25bpw
+
+This is a 2.25bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
+
+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.
+
+## Perplexity Scoring
+
+Below are the perplexity scores for the EXL2 models. A lower score is better. 
+ 
+| Quant Level | Perplexity Score |
+|-------------|------------------|
+| 5.0 | 4.2637 |
+| 4.5 | 4.2876 |
+| 4.0 | 4.3097 |
+| 3.5 | 4.4459 |
+| 3.0 | 4.6504 |
+| 2.75 | 5.1638 |
+| 2.5 | 5.1715 |
+| 2.25 | 6.0848 |
+
+## EQ Bench
+
+Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Mistral, Vicuna-v1.1 and Vicuna-v0 prompt templates. A higher score is better.
+
+| Quant Size | Instruct Template | Score |
+|------------|-------------------|-------|
+| 5.0 | ChatML | 79.91 |
+| 5.0 | Alpaca | 81.45 |
+| 5.0 | Mistral | 81.11 |
+| 5.0 | Vicuna-v1.1 | 78.37 |
+| 5.0 | Vicuna-v0 | 76.64 |
+| 4.5 | ChatML | 80.64 |
+| 4.5 | Alpaca | 80.9 |
+| 4.5 | Mistral | 81.65 |
+| 4.5 | Vicuna-v1.1 | 77.04 |
+| 4.5 | Vicuna-v0 | 74.6 |
+| 4.0 | ChatML | 80.78 |
+| 4.0 | Alpaca | 79.53 |
+| 4.0 | Mistral | 82.78 |
+| 4.0 | Vicuna-v1.1 | 79.17 |
+| 4.0 | Vicuna-v0 | 76.41 |
+| 3.5 | ChatML | 81.11 |
+| 3.5 | Alpaca | 82.42 |
+| 3.5 | Mistral | 82.34 |
+| 3.5 | Vicuna-v1.1 | 81.04 |
+| 3.5 | Vicuna-v0 | 78.09 |
+| 3.0 | ChatML | 79.13 |
+| 3.0 | Alpaca | 77.74 |
+| 3.0 | Mistral | 80.11 |
+| 3.0 | Vicuna-v1.1 | 79.38 |
+| 3.0 | Vicuna-v0 | 77.25 |
+| 2.75 | ChatML | 79.6 |
+| 2.75 | Alpaca | 77.85 |
+| 2.75 | Mistral | 79.71 |
+| 2.75 | Vicuna-v1.1 | 76.93 |
+| 2.75 | Vicuna-v0 | 75.91 |
+| 2.5 | ChatML | 77.45 |
+| 2.5 | Alpaca | 77.0 |
+| 2.5 | Mistral | 78.4 |
+| 2.5 | Vicuna-v1.1 | 75.86 |
+| 2.5 | Vicuna-v0 | 75.25 |
+| 2.25 | ChatML | 77.18 |
+| 2.25 | Alpaca | 74.06 |
+| 2.25 | Mistral | 76.75 |
+| 2.25 | Vicuna-v1.1 | 75.56 |
+| 2.25 | Vicuna-v0 | 74.28 |
+
+
+
+### Perplexity Script
+
+This was the script used for perplexity testing.
+
+```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="miqu-1-70b-sf"
+BIT_PRECISIONS=(8.0 7.0 6.0 5.5 5.0 4.5 4.0 3.5 3.0 2.75 2.5 2.25)
+
+# Print the markdown table header
+echo "| Quant Level | Perplexity Score |"
+echo "|-------------|------------------|"
+
+for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
+do
+  MODEL_DIR="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
+  if [ -d "$MODEL_DIR" ]; then
+    output=$(python test_inference.py -m "$MODEL_DIR" -gs 22,24 -ed data/wikitext/wikitext-2-v1.parquet)
+    score=$(echo "$output" | grep -oP 'Evaluation perplexity: \K[\d.]+')
+    echo "| $BIT_PRECISION | $score |"
+  fi
+done
+```
+
+
+## Quant Details
+
+This is the script used for quantization.
+
+```bash
+#!/bin/bash
+
+# Activate the conda environment
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate exllamav2
+
+# Set the model name and bit size
+MODEL_NAME="miqu-1-70b-sf"
+
+# Define variables
+MODEL_DIR="models/152334H_miqu-1-70b-sf"
+OUTPUT_DIR="exl2_$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 $MEASUREMENT_FILE
+fi
+
+# Choose one of the below. Either create a single quant for testing or a batch of them.
+# BIT_PRECISIONS=(5.0)
+BIT_PRECISIONS=(8.0 7.0 6.0 5.5 5.0 4.5 4.0 3.5 3.0 2.75 2.5 2.25)
+
+for BIT_PRECISION in "${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
+```

config.json

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+{
+    "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": "4.36.0",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.18",
+        "bits": 2.25,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

huggingface-metadata.txt

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+url: https://huggingface.co/152334H/miqu-1-70b-sf
+branch: main
+download date: 2024-02-02 21:23:11
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