Quant for 6.0

README.md

@@ -1,38 +1,21 @@
 ---
-license: cc-by-nc-4.0
-datasets:
-- berkeley-nest/Nectar
-language:
-- en
-library_name: transformers
-tags:
-- reward model
-- RLHF
-- RLAIF
 quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of Starling-LM-7B-alpha
+# Exllama v2 Quantizations of Starling-LM-7B-alpha at 6.0 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.
 
-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/berkeley-nest/Starling-LM-7B-alpha
- 
-<a href="https://huggingface.co/bartowski/Starling-LM-7B-alpha-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/Starling-LM-7B-alpha-exl2
+git clone --single-branch --branch 6.0 https://huggingface.co/bartowski/Starling-LM-7B-alpha-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -41,16 +24,9 @@ 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 `Starling-LM-7B-alpha-exl2`:
-
-```shell
-mkdir Starling-LM-7B-alpha-exl2
-huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --local-dir Starling-LM-7B-alpha-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
 mkdir Starling-LM-7B-alpha-exl2
-huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --revision 4_0 --local-dir Starling-LM-7B-alpha-exl2 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --revision 6_0 --local-dir Starling-LM-7B-alpha-exl2 --local-dir-use-symlinks False
 ```

added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|end_of_turn|>": 32000,
+  "<|pad_0|>": 32001
+}

config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "openchat/openchat_3.5",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "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": "4.35.0",
+  "use_cache": true,
+  "vocab_size": 32002
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "transformers_version": "4.35.0"
+}

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