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Quant for 4.25

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README.md CHANGED
@@ -12,63 +12,69 @@ datasets:
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  model-index:
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  - name: zephyr-7b-dpo-full
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  results: []
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- quantized_by: bartowski
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- pipeline_tag: text-generation
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  ---
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- ## Exllama v2 Quantizations of zephyr-7b-dpo-full
 
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- Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.
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- # The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
 
 
 
 
 
 
 
 
 
 
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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- Original model: https://huggingface.co/alignment-handbook/zephyr-7b-dpo-full
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- | Branch | Bits | lm_head bits | Size | Description |
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- | ----- | ---- | ------- | ------ | ------------ |
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- | [8_0](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/8_0) | 8.0 | 8.0 | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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- | [6_5](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/6_5) | 6.5 | 8.0 | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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- | [5_0](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/5_0) | 5.0 | 6.0 | 7.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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- | [4_25](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/4_25) | 4.25 | 6.0 | 6.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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- | [3_5](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/3_5) | 3.5 | 6.0 | 6.1 GB | Lower quality, only use if you have to. |
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- All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.
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- ## Download instructions
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- With git:
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- ```shell
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- git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/zephyr-7b-dpo-full-exl2 zephyr-7b-dpo-full-exl2-6_5
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- ```
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- With huggingface hub (credit to TheBloke for instructions):
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- ```shell
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- pip3 install huggingface-hub
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- ```
 
 
 
 
 
 
 
 
 
 
 
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- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `zephyr-7b-dpo-full-exl2`:
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- ```shell
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- mkdir zephyr-7b-dpo-full-exl2
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- huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --local-dir zephyr-7b-dpo-full-exl2 --local-dir-use-symlinks False
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- ```
 
 
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- To download from a different branch, add the `--revision` parameter:
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- Linux:
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- ```shell
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- mkdir zephyr-7b-dpo-full-exl2-6_5
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- huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --revision 6_5 --local-dir zephyr-7b-dpo-full-exl2-6_5 --local-dir-use-symlinks False
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- ```
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-
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- Windows (which apparently doesn't like _ in folders sometimes?):
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-
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- ```shell
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- mkdir zephyr-7b-dpo-full-exl2-6.5
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- huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --revision 6_5 --local-dir zephyr-7b-dpo-full-exl2-6.5 --local-dir-use-symlinks False
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- ```
 
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  model-index:
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  - name: zephyr-7b-dpo-full
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  results: []
 
 
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  ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+ # zephyr-7b-dpo-full
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5042
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+ - Rewards/chosen: -1.0500
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+ - Rewards/rejected: -2.0480
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+ - Rewards/accuracies: 0.7539
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+ - Rewards/margins: 0.9980
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+ - Logps/rejected: -468.1450
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+ - Logps/chosen: -368.4135
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+ - Logits/rejected: 2.3821
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+ - Logits/chosen: 1.6141
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+ ## Model description
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+ More information needed
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+ ## Intended uses & limitations
 
 
 
 
 
 
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+ More information needed
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+ ## Training and evaluation data
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+ More information needed
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+ ## Training procedure
 
 
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+ ### Training hyperparameters
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.5723 | 0.21 | 100 | 0.5851 | -0.4097 | -0.8752 | 0.7031 | 0.4655 | -350.8695 | -304.3812 | -2.3494 | -2.4070 |
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+ | 0.5084 | 0.42 | 200 | 0.5251 | -0.9116 | -1.7472 | 0.7422 | 0.8355 | -438.0663 | -354.5790 | 1.3918 | 0.9248 |
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+ | 0.5059 | 0.63 | 300 | 0.5130 | -0.8646 | -1.7542 | 0.75 | 0.8896 | -438.7735 | -349.8758 | 2.0331 | 1.2558 |
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+ | 0.4853 | 0.84 | 400 | 0.5050 | -1.0929 | -2.1085 | 0.7539 | 1.0156 | -474.1963 | -372.7067 | 2.5922 | 1.8194 |
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+ ### Framework versions
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
 
 
 
 
 
 
 
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": 1.6140714883804321,
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+ "eval_logits/rejected": 2.3821487426757812,
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+ "eval_logps/chosen": -368.41351318359375,
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+ "eval_loss": 0.5042223334312439,
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+ "eval_rewards/accuracies": 0.75390625,
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+ "eval_rewards/chosen": -1.049981713294983,
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+ "eval_rewards/margins": 0.9979785680770874,
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+ "eval_rewards/rejected": -2.0479602813720703,
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+ "eval_runtime": 91.1991,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 21.93,
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+ "eval_steps_per_second": 0.351,
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+ "train_loss": 0.5379065808890754,
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+ "train_runtime": 5396.8094,
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+ "train_samples": 61135,
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+ "train_samples_per_second": 11.328,
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+ "train_steps_per_second": 0.089
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
eval_results.json ADDED
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+ {
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 21.93,
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+ "eval_steps_per_second": 0.351
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+ }
generation_config.json ADDED
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