Quant for 6.5

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README.md +108 -40
config.json +26 -0
generation_config.json +7 -0
model.safetensors.index.json +298 -0
original_repo_url.txt +1 -0
output.safetensors +3 -0
pytorch_model.bin.index.json +298 -0
special_tokens_map.json +24 -0
tokenizer.model +3 -0
tokenizer_config.json +44 -0

README.md CHANGED Viewed

@@ -6,63 +6,131 @@ tags:
 model-index:
 - name: out
   results: []
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
-## Exllama v2 Quantizations of Mistral-NeuralDPO-v0.3
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</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/NovoCode/Mistral-NeuralDPO-v0.3
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/Mistral-NeuralDPO-v0.3-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/Mistral-NeuralDPO-v0.3-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/Mistral-NeuralDPO-v0.3-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/Mistral-NeuralDPO-v0.3-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/Mistral-NeuralDPO-v0.3-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/Mistral-NeuralDPO-v0.3-exl2 Mistral-NeuralDPO-v0.3-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 `Mistral-NeuralDPO-v0.3-exl2`:
-```shell
-mkdir Mistral-NeuralDPO-v0.3-exl2
-huggingface-cli download bartowski/Mistral-NeuralDPO-v0.3-exl2 --local-dir Mistral-NeuralDPO-v0.3-exl2 --local-dir-use-symlinks False
-```
-To download from a different branch, add the `--revision` parameter:
-Linux:
-```shell
-mkdir Mistral-NeuralDPO-v0.3-exl2-6_5
-huggingface-cli download bartowski/Mistral-NeuralDPO-v0.3-exl2 --revision 6_5 --local-dir Mistral-NeuralDPO-v0.3-exl2-6_5 --local-dir-use-symlinks False
-```
-Windows (which apparently doesn't like _ in folders sometimes?):
-```shell
-mkdir Mistral-NeuralDPO-v0.3-exl2-6.5
-huggingface-cli download bartowski/Mistral-NeuralDPO-v0.3-exl2 --revision 6_5 --local-dir Mistral-NeuralDPO-v0.3-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. -->
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.4.0`
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+rl: dpo
+datasets:
+  - path: NeuralNovel/Neural-DPO
+    split: train
+    type: chatml.intel
+rl: dpo
+datasets:
+  - path: Intel/orca_dpo_pairs
+    split: train
+    type: chatml.intel
+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: Neural-DPO
+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>"
+```
+</details><br>
+# out
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 8
+- 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
+- training_steps: 1608
+### Training results
+### Framework versions
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.0

config.json ADDED Viewed

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

+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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"
+}

model.safetensors.index.json ADDED Viewed

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