Quant for 6.5

README.md

@@ -1,41 +1,22 @@
 ---
 license: apache-2.0
 quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of neuralchat_v3_3_laser
+# Exllama v2 Quantizations of neural-chat-7b-v3-3 at 8.0 bits per weight
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.
 
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-
-Conversion was done using the default 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/cognitivecomputations/neuralchat_v3_3_laser
-
-
-
-<a href="https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2/tree/4_0">4.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2/tree/3_5">3.5 bits per weight</a>
+Original model: https://huggingface.co/Intel/neural-chat-7b-v3-3
 
 ## Download instructions
 
 With git:
 
 ```shell
-git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/neuralchat_v3_3_laser-exl2
+git clone --single-branch --branch 8.0 https://huggingface.co/bartowski/neural-chat-7b-v3-3-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -44,16 +25,9 @@ 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 `neuralchat_v3_3_laser-exl2`:
-
-```shell
-mkdir neuralchat_v3_3_laser-exl2
-huggingface-cli download bartowski/neuralchat_v3_3_laser-exl2 --local-dir neuralchat_v3_3_laser-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
-mkdir neuralchat_v3_3_laser-exl2
-huggingface-cli download bartowski/neuralchat_v3_3_laser-exl2 --revision 4_0 --local-dir neuralchat_v3_3_laser-exl2 --local-dir-use-symlinks False
+mkdir neural-chat-7b-v3-3-exl2
+huggingface-cli download bartowski/neural-chat-7b-v3-3-exl2 --revision 8_0 --local-dir neural-chat-7b-v3-3-exl2 --local-dir-use-symlinks False
 ```

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "Intel/neural-chat-7b-v3-3",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "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": "4.36.2"
+}

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