Quant for 5.0

README.md

@@ -9,30 +9,20 @@ inference:
 quantized_by: bartowski
 ---
 
-## Exllama v2 Quantizations of Mistral-7B-Instruct-v0.2
+# Exllama v2 Quantizations of Mistral-7B-Instruct-v0.2 at 5.0 bits per weight
 
 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 VMWareOpenInstruct.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/mistralai/Mistral-7B-Instruct-v0.2
- 
-<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/6_0">6.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/7_0">7.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-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/Mistral-7B-Instruct-v0.2-exl2
+git clone --single-branch --branch 5.0 https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -41,16 +31,9 @@ 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 `Mistral-7B-Instruct-v0.2-exl2`:
-
-```shell
-mkdir Mistral-7B-Instruct-v0.2-exl2
-huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
 mkdir Mistral-7B-Instruct-v0.2-exl2
-huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --revision 4_0 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --revision 5_0 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
 ```

config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.0"
+}

output.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d1ecc2a82198ae489a572bba04d272c4cf0ea7fcaa3dc51ea435905bef597bf5
+size 4735117032

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