Upload model
Browse files- README.md +199 -0
- config.json +64 -0
- generation_config.json +6 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "/data_storage/lbw/MMaDA/mmada-training-stage3-llada-instruct-512-cot-uni/checkpoint-210000/unwrapped_model",
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"activation_type": "silu",
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"alibi": false,
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"alibi_bias_max": 8.0,
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"architectures": [
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"MMadaModelLM"
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],
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| 9 |
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"attention_dropout": 0.0,
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"attention_layer_norm": false,
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"attention_layer_norm_with_affine": true,
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"auto_map": {
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| 13 |
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"AutoConfig": "configuration_llada.LLaDAConfig",
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"AutoModel": "modeling_llada.LLaDAModelLM",
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"AutoModelForCausalLM": "modeling_llada.LLaDAModelLM"
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},
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"bias_for_layer_norm": false,
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| 18 |
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"block_group_size": 1,
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"block_type": "llama",
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"codebook_size": 8192,
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"d_model": 4096,
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"embedding_dropout": 0.0,
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"embedding_size": 134656,
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"eos_token_id": 126081,
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"flash_attention": false,
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"include_bias": false,
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| 27 |
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"include_qkv_bias": false,
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"init_cutoff_factor": null,
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| 29 |
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"init_device": "meta",
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"init_fn": "mitchell",
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"init_std": 0.02,
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"input_emb_norm": false,
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"layer_norm_type": "rms",
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"layer_norm_with_affine": true,
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"llm_vocab_size": 126464,
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"mask_token_id": 126336,
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"max_sequence_length": 4096,
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"mlp_hidden_size": 12288,
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"mlp_ratio": 4,
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"model_type": "mmada",
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| 41 |
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"multi_query_attention": null,
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"n_heads": 32,
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| 43 |
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"n_kv_heads": 32,
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"n_layers": 32,
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"new_vocab_size": 134656,
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"num_new_special_tokens": 0,
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"num_vq_tokens": 256,
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| 48 |
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"pad_token_id": 126081,
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"precision": "amp_bf16",
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| 50 |
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"pretrained_model_path": "/data_storage/shared/pretrained_models/LLaDA-8B-Instruct",
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| 51 |
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"residual_dropout": 0.0,
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"rms_norm_eps": 1e-05,
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"rope": true,
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"rope_full_precision": true,
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"rope_theta": 500000.0,
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"scale_logits": false,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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| 59 |
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"transformers_version": "4.46.0",
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| 60 |
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"use_cache": false,
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| 61 |
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"vocab_size": 134656,
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| 62 |
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"w_clip_vit": false,
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| 63 |
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"weight_tying": false
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 126080,
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"eos_token_id": 126081,
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"transformers_version": "4.46.0"
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}
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f57532a459839ce0f826e3cfa4d4ed8efb6293c8821057b3c03562a49e326b5
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size 4928472568
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d33d876b196678dc6ca2f3e678520bf0169c1de808e29c6746b7005472568bf1
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size 4932693832
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model-00003-of-00004.safetensors
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