Upload folder using huggingface_hub
Browse files- README.md +215 -0
- config.json +33 -0
- generation_config.json +6 -0
- metadata.json +1 -0
- pytorch_model-00001-of-00003.bin +3 -0
- pytorch_model-00002-of-00003.bin +3 -0
- pytorch_model-00003-of-00003.bin +3 -0
- pytorch_model.bin.index.json +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +248 -0
README.md
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| 1 |
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---
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language: en
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model-index:
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- name: allenai/open_instruct_dev
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results:
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- task:
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type: preference_evaluation
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dataset:
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name: reward-bench
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type: allenai/reward-bench
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metrics:
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- type: accuracy
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value: 1.0
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- type: accuracy
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value: 1.0
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- type: accuracy
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value: 1.0
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- type: accuracy
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value: 1.0
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---
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# Model Card for allenai/open_instruct_dev
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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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- **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):** en
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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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| 126 |
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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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| 138 |
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| 139 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 140 |
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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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| 152 |
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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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| 160 |
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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": "allenai/open_instruct_dev",
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| 3 |
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"architectures": [
|
| 4 |
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"OlmoeForCausalLM"
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| 5 |
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],
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| 6 |
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"attention_bias": false,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"clip_qkv": null,
|
| 9 |
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"eos_token_id": 50279,
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| 10 |
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"hidden_act": "silu",
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| 11 |
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"hidden_size": 2048,
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| 12 |
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"initializer_range": 0.02,
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| 13 |
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"intermediate_size": 1024,
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| 14 |
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"max_position_embeddings": 4096,
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| 15 |
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"model_type": "olmoe",
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| 16 |
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"norm_topk_prob": false,
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| 17 |
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"num_attention_heads": 16,
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| 18 |
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"num_experts": 64,
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| 19 |
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"num_experts_per_tok": 8,
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| 20 |
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"num_hidden_layers": 16,
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"num_key_value_heads": 16,
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| 22 |
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"output_router_logits": false,
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"pad_token_id": 1,
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| 24 |
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"rms_norm_eps": 1e-05,
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| 25 |
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"rope_scaling": null,
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| 26 |
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"rope_theta": 10000.0,
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| 27 |
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"router_aux_loss_coef": 0.01,
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| 28 |
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"tie_word_embeddings": false,
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| 29 |
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"torch_dtype": "bfloat16",
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| 30 |
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"transformers_version": "4.47.0.dev0",
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| 31 |
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"use_cache": true,
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| 32 |
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"vocab_size": 50304
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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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"eos_token_id": 50279,
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"pad_token_id": 1,
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"transformers_version": "4.47.0.dev0"
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}
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metadata.json
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{"model_name": "0119_node4_dpo_olmoe_1blr_9e-7", "model_type": "dpo", "datasets": ["allenai/tulu-3-pref-personas-instruction-following", "ai2-adapt-dev/wildchat_v3.9_used_on_policy_prompts-olmoe", "ai2-adapt-dev/wildchat_v3.9_unused_off_policy_prompts-olmoe", "ai2-adapt-dev/DaringAnteater-preferences-olmoe", "ai2-adapt-dev/uf_cleaned-olmoe", "ai2-adapt-dev/IF_Taxonomy-olmoe", "ai2-adapt-dev/sft_v3.9_used_off_policy_prompts-olmoe", "ai2-adapt-dev/sft_v3.9_used_on_policy_prompts-olmoe", "ai2-adapt-dev/Wildchat-prefs-280824-olmoe"], "base_model": "allenai/open_instruct_dev", "wandb_path": "https://wandb.ai/ai2-llm/open_instruct_internal/runs/mtbhb8vm", "beaker_experiment": "https://beaker.org/ex/01JJC8QSMJBCZYAX35JBBC0JPP/", "beaker_datasets": ["https://beaker.org/ds/01JJC8QSP21RYMG0G6RJM685JG", "https://beaker.org/ds/01JJC8QSV12E4TCGSZ8AG5EQQT", "https://beaker.org/ds/01JJC8QSZRRJHNR8DXMP814DBD", "https://beaker.org/ds/01JJC8QT51B9KTE8XN0D7ZX502", "https://beaker.org/ds/01JJCAGG9GEEJ4HGNX184EB9Q9", "https://beaker.org/ds/01JJCAGGECE73JG9BZPQPAJ7WH", "https://beaker.org/ds/01JJCAGGJRDM2S6NXDTEF3T338", "https://beaker.org/ds/01JJCAGGQA0QKSBNAWQWTZQ6X6"]}
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pytorch_model-00001-of-00003.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f7f74ef3ccf88d8a79dad991ea07f857c8a0039bd0821c1ef94141fe4eee3bc
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size 4998004590
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pytorch_model-00002-of-00003.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:950d6e0b061a1facda62e62855e184ecfad0daaf70dbf813fb27aefd56a22e79
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