Quant for 3.5

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README.md +116 -40
config.json +26 -0
generation_config.json +7 -0
original_repo_url.txt +1 -0
output.safetensors +3 -0
pytorch_model.bin.index.json +298 -0
special_tokens_map.json +30 -0
tokenizer.json +0 -0
tokenizer.model +3 -0
tokenizer_config.json +42 -0

README.md CHANGED Viewed

@@ -10,63 +10,139 @@ tags:
 model-index:
 - name: out
   results: []
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
-## Exllama v2 Quantizations of Senzu-7B-v0.1-DPO
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-Original model: https://huggingface.co/NeuralNovel/Senzu-7B-v0.1-DPO
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
-## Download instructions
-With git:
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Senzu-7B-v0.1-DPO-exl2 Senzu-7B-v0.1-DPO-exl2-6_5
-```
-With huggingface hub (credit to TheBloke for instructions):
-```shell
-pip3 install huggingface-hub
-```
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Senzu-7B-v0.1-DPO-exl2`:
-```shell
-mkdir Senzu-7B-v0.1-DPO-exl2
-huggingface-cli download bartowski/Senzu-7B-v0.1-DPO-exl2 --local-dir Senzu-7B-v0.1-DPO-exl2 --local-dir-use-symlinks False
 ```
-To download from a different branch, add the `--revision` parameter:
-Linux:
-```shell
-mkdir Senzu-7B-v0.1-DPO-exl2-6_5
-huggingface-cli download bartowski/Senzu-7B-v0.1-DPO-exl2 --revision 6_5 --local-dir Senzu-7B-v0.1-DPO-exl2-6_5 --local-dir-use-symlinks False
-```
-Windows (which apparently doesn't like _ in folders sometimes?):
-```shell
-mkdir Senzu-7B-v0.1-DPO-exl2-6.5
-huggingface-cli download bartowski/Senzu-7B-v0.1-DPO-exl2 --revision 6_5 --local-dir Senzu-7B-v0.1-DPO-exl2-6.5 --local-dir-use-symlinks False
-```
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

 model-index:
 - name: out
   results: []
 ---
+<!-- 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. -->
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/FXt-g2q8JE-l77_gp23T3.jpeg)
+# NeuralNovel/Senzu-7B-v0.1-DPO
+Embracing a quiet *storm* ..
+## Model Details
+This model is Senzu-7B-v0.1 a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+DPO Trained on the Neural-DPO dataset.
+Trained on the Neural-DPO
+This model excels at character roleplay, also with the ability of responding accurately to a wide variety of complex questions.
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+is_mistral_derived_model: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+datasets:
+  - path: practical-dreamer/RPGPT_PublicDomain-alpaca
+    type: alpaca
+    format: "[INST] {instruction} [/INST]"
+    no_input_format: "[INST] {instruction} [/INST]"
+datasets:
+  - path: shuyuej/metamath_gsm8k
+    type: jeopardy
+    format: "[INST] {instruction} [/INST]"
+    no_input_format: "[INST] {instruction} [/INST]"
+datasets:
+  - path: NeuralNovel/Neural-DPO
+    type:
+      system_prompt: ""
+      field_system: system
+      field_instruction: chosen
+      field_output: chosen
+      format: "[INST] {instruction} [/INST]"
+      no_input_format: "[INST] {instruction} [/INST]"
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./out
+sequence_len: 8192
+sample_packing: false
+pad_to_sequence_len: true
+eval_sample_packing: false
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 0
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
 ```
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+### Training results
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2061        | 0.01  | 1    | 0.3139          |
+| 0.0           | 0.25  | 32   | 0.0000          |
+| 0.0           | 0.5   | 64   | 0.0010          |
+| 0.0           | 0.76  | 96   | 0.0000          |
+### Framework versions
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.0

config.json ADDED Viewed

	@@ -0,0 +1,26 @@

+{
+  "_name_or_path": "out/Mistral-DPO",
+  "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": "4.38.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.0.dev0"
+}

original_repo_url.txt ADDED Viewed

	@@ -0,0 +1 @@


1	+ https://huggingface.co/NeuralNovel/Senzu-7B-v0.1-DPO

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