
## Exllama v2 Quantizations of juanako-7b-UNA

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.

Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.

Original model: https://huggingface.co/fblgit/juanako-7b-UNA
 
<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/4_0">4.0 bits per weight</a>
 
<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/5_0">5.0 bits per weight</a>
 
<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/6_0">6.0 bits per weight</a>
 
<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/8_0">8.0 bits per weight</a>

## Download instructions

With git:

```shell
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/juanako-7b-UNA-exl2
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

To download the `main` (only useful if you only care about measurement.json) branch to a folder called `juanako-7b-UNA-exl2`:

```shell
mkdir juanako-7b-UNA-exl2
huggingface-cli download bartowski/juanako-7b-UNA-exl2 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False
```

To download from a different branch, add the `--revision` parameter:

```shell
mkdir juanako-7b-UNA-exl2
huggingface-cli download bartowski/juanako-7b-UNA-exl2 --revision 4_0 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False
```

{"license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer", "juanako", "mistral", "UNA"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "quantized_by": "bartowski", "pipeline_tag": "text-generation", "model-index": [{"name": "juanako-7b-UNA", "results": [{"task": {"type": "text-generation", "name": "TruthfulQA (MC2)"}, "dataset": {"name": "truthful_qa", "type": "text-generation", "config": "multiple_choice", "split": "validation"}, "metrics": [{"type": "accuracy", "value": 65.13, "verified": true}]}, {"task": {"type": "text-generation", "name": "ARC-Challenge"}, "dataset": {"name": "ai2_arc", "type": "text-generation", "config": "ARC-Challenge", "split": "test"}, "metrics": [{"type": "accuracy", "value": 68.17, "verified": true}]}, {"task": {"type": "text-generation", "name": "HellaSwag"}, "dataset": {"name": "Rowan/hellaswag", "type": "text-generation", "split": "test"}, "metrics": [{"type": "accuracy", "value": 85.34, "verified": true}, {"type": "accuracy", "value": 83.57}]}, {"task": {"type": "text-generation", "name": "Winogrande"}, "dataset": {"name": "winogrande", "type": "text-generation", "config": "winogrande_debiased", "split": "test"}, "metrics": [{"type": "accuracy", "value": 78.85, "verified": true}]}, {"task": {"type": "text-generation", "name": "MMLU"}, "dataset": {"name": "cais/mmlu", "type": "text-generation", "config": "all", "split": "test"}, "metrics": [{"type": "accuracy", "value": 62.47, "verified": true}]}, {"task": {"type": "text-generation", "name": "DROP"}, "dataset": {"name": "drop", "type": "text-generation", "split": "validation"}, "metrics": [{"type": "accuracy", "value": 38.74, "verified": true}]}, {"task": {"type": "text-generation", "name": "PubMedQA"}, "dataset": {"name": "bigbio/pubmed_qa", "type": "text-generation", "config": "pubmed_qa_artificial_bigbio_qa", "split": "validation"}, "metrics": [{"type": "accuracy", "value": 76.0}]}]}]}
alignment-handbook generated_from_trainer juanako mistral UNA text-generation dataset:HuggingFaceH4/ultrafeedback_binarized license:apache-2.0 model-index region:us