Quant for 3.5

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -18,65 +18,60 @@ model-index:
   results: []
 language:
 - en
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of zephyr-7b-gemma-sft-v0.1
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
+# zephyr-7b-gemma-sft
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the HuggingFaceH4/deita-10k-v0-sft dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9732
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+## Model description
 
-Original model: https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
+More information needed
 
-No GQA - VRAM requirements will be higher
+## Intended uses & limitations
 
-| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
-| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
-| [8_0](https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2/tree/8_0) | 8.0 | 8.0 | 14.0 GB | 19.4 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2/tree/6_5) | 6.5  | 8.0 | 12.5 GB | 17.9 GB | Near unquantized performance at vastly reduced size, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2/tree/5_0) | 5.0  | 6.0 | 10.9 GB | 16.3 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
-| [4_25](https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2/tree/4_25) | 4.25 | 6.0 | 10.2 GB | 15.7 GB | GPTQ equivalent bits per weight. |
-| [3_5](https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 GB | Lower quality, not recommended. |
+More information needed
 
-## Download instructions
+## Training and evaluation data
 
-With git:
+More information needed
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/zephyr-7b-gemma-sft-v0.1-exl2 zephyr-7b-gemma-sft-v0.1-exl2-6_5
-```
+## Training procedure
 
-With huggingface hub (credit to TheBloke for instructions):
+### Training hyperparameters
 
-```shell
-pip3 install huggingface-hub
-```
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `zephyr-7b-gemma-sft-v0.1-exl2`:
+### Training results
 
-```shell
-mkdir zephyr-7b-gemma-sft-v0.1-exl2
-huggingface-cli download bartowski/zephyr-7b-gemma-sft-v0.1-exl2 --local-dir zephyr-7b-gemma-sft-v0.1-exl2 --local-dir-use-symlinks False
-```
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9482        | 1.0   | 299  | 0.9848          |
+| 0.8139        | 2.0   | 599  | 0.9610          |
+| 0.722         | 2.99  | 897  | 0.9732          |
 
-To download from a different branch, add the `--revision` parameter:
 
-Linux:
+### Framework versions
 
-```shell
-mkdir zephyr-7b-gemma-sft-v0.1-exl2-6_5
-huggingface-cli download bartowski/zephyr-7b-gemma-sft-v0.1-exl2 --revision 6_5 --local-dir zephyr-7b-gemma-sft-v0.1-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir zephyr-7b-gemma-sft-v0.1-exl2-6.5
-huggingface-cli download bartowski/zephyr-7b-gemma-sft-v0.1-exl2 --revision 6_5 --local-dir zephyr-7b-gemma-sft-v0.1-exl2-6.5 --local-dir-use-symlinks False
-```
-
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.1

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.99,
+    "eval_loss": 0.973169207572937,
+    "eval_runtime": 22.1864,
+    "eval_samples": 500,
+    "eval_samples_per_second": 86.224,
+    "eval_steps_per_second": 1.352,
+    "train_loss": 1.0022602648772259,
+    "train_runtime": 5184.357,
+    "train_samples": 9500,
+    "train_samples_per_second": 22.178,
+    "train_steps_per_second": 0.173
+}

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "google/gemma-7b",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": true,
+  "vocab_size": 256000
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.99,
+    "eval_loss": 0.973169207572937,
+    "eval_runtime": 22.1864,
+    "eval_samples": 500,
+    "eval_samples_per_second": 86.224,
+    "eval_steps_per_second": 1.352
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0.dev0"
+}

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