Quant for 4.25

README.md

@@ -8,28 +8,20 @@ tags:
 quantized_by: bartowski
 ---
 
-## Exllama v2 Quantizations of cat-v1.0-13b
+# Exllama v2 Quantizations of cat-v1.0-13b at 8.0,6.0,5.0,4.25,4.0,3.75
 
 Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</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.
 
 Original model: https://huggingface.co/Doctor-Shotgun/cat-v1.0-13b
- 
-<a href="https://huggingface.co/bartowski/cat-v1.0-13b-exl2/tree/5.0">5.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/cat-v1.0-13b-exl2/tree/6.0">6.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/cat-v1.0-13b-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/cat-v1.0-13b-exl2
+git clone --single-branch --branch 8.0,6.0,5.0,4.25,4.0,3.75 https://huggingface.co/bartowski/cat-v1.0-13b-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -38,16 +30,9 @@ With huggingface hub (credit to TheBloke for instructions):
 pip3 install huggingface-hub
 ```
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `cat-v1.0-13b-exl2`:
-
-```shell
-mkdir cat-v1.0-13b-exl2
-huggingface-cli download bartowski/cat-v1.0-13b-exl2 --local-dir cat-v1.0-13b-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
 mkdir cat-v1.0-13b-exl2
-huggingface-cli download bartowski/cat-v1.0-13b-exl2 --revision 4.0 --local-dir cat-v1.0-13b-exl2 --local-dir-use-symlinks False
+huggingface-cli download bartowski/cat-v1.0-13b-exl2 --revision  --local-dir cat-v1.0-13b-exl2 --local-dir-use-symlinks False
 ```

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "../Llama-2-13b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

output.safetensors

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