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Quant for 6.5

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README.md CHANGED
@@ -6,63 +6,131 @@ tags:
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  model-index:
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  - name: out
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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 Mistral-NeuralDPO-v0.3
 
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- Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
 
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- <b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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/NovoCode/Mistral-NeuralDPO-v0.3
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- | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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- | ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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- | [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. |
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- | [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**. |
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- | [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. |
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- | [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. |
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- | [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. |
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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/Mistral-NeuralDPO-v0.3-exl2 Mistral-NeuralDPO-v0.3-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 `Mistral-NeuralDPO-v0.3-exl2`:
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- ```shell
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- mkdir Mistral-NeuralDPO-v0.3-exl2
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- huggingface-cli download bartowski/Mistral-NeuralDPO-v0.3-exl2 --local-dir Mistral-NeuralDPO-v0.3-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 Mistral-NeuralDPO-v0.3-exl2-6_5
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- 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
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- ```
 
 
 
 
 
 
 
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- Windows (which apparently doesn't like _ in folders sometimes?):
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- ```shell
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- mkdir Mistral-NeuralDPO-v0.3-exl2-6.5
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- 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
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- ```
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- Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
 
 
 
 
 
 
 
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  model-index:
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  - name: out
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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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+ [<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)
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+ <details><summary>See axolotl config</summary>
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-v0.1
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+ model_type: MistralForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ is_mistral_derived_model: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ rl: dpo
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+ datasets:
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+ - path: NeuralNovel/Neural-DPO
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+ split: train
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+ type: chatml.intel
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+
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+ rl: dpo
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+ datasets:
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+ - path: Intel/orca_dpo_pairs
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+ split: train
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+ type: chatml.intel
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+
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+ dataset_prepared_path:
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+ val_set_size: 0.05
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+ output_dir: ./out
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+
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+ sequence_len: 8192
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+ sample_packing: false
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+ pad_to_sequence_len: true
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+ eval_sample_packing: false
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+
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+ wandb_project:
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: Neural-DPO
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 2
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+ num_epochs: 1
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.000005
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 10
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+ evals_per_epoch: 4
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+ eval_table_size:
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+ eval_max_new_tokens: 128
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+ saves_per_epoch: 0
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ bos_token: "<s>"
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+ eos_token: "</s>"
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+ unk_token: "<unk>"
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+ ```
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+ </details><br>
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+ # out
 
 
 
 
 
 
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+ 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.
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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-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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_steps: 10
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+ - training_steps: 1608
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+ ### Training results
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 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": "4.38.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "do_sample": true,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.38.0.dev0"
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+ }
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