Upload full trainer checkpoint step=2026 (profile=llama3_1_8b_base_grpo, run_type=grpo)
Browse files- .gitattributes +1 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/README.md +210 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/adapter_config.json +50 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/adapter_model.safetensors +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/chat_template.jinja +12 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/optimizer.pt +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/rng_state.pth +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/scheduler.pt +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer_config.json +18 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/trainer_state.json +2239 -0
- meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/training_args.bin +3 -0
- meta-llama__meta-llama-3.1-8b/grpo/run_manifest.json +8 -2
.gitattributes
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@@ -147,3 +147,4 @@ meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23456/tokenizer.json fi
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meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/README.md
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+
---
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+
base_model: unsloth/Meta-Llama-3.1-8B
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/Meta-Llama-3.1-8B
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- grpo
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- lora
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- transformers
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- trl
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- unsloth
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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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+
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+
<!-- Provide a longer summary of what this model is. -->
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+
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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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| 31 |
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- **Model type:** [More Information Needed]
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+
- **Language(s) (NLP):** [More Information Needed]
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| 33 |
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- **License:** [More Information Needed]
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| 34 |
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- **Finetuned from model [optional]:** [More Information Needed]
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+
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+
### Model Sources [optional]
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| 37 |
+
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+
<!-- Provide the basic links for the model. -->
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| 39 |
+
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+
- **Repository:** [More Information Needed]
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| 41 |
+
- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 43 |
+
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+
## Uses
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| 45 |
+
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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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| 49 |
+
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| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 51 |
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[More Information Needed]
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| 53 |
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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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| 57 |
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[More Information Needed]
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| 59 |
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### Out-of-Scope Use
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| 61 |
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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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| 65 |
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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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| 71 |
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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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| 77 |
+
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| 78 |
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## How to Get Started with the Model
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| 79 |
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Use the code below to get started with the model.
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| 81 |
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[More Information Needed]
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## Training Details
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| 85 |
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### Training Data
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| 87 |
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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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| 102 |
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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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| 152 |
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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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| 168 |
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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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| 182 |
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**BibTeX:**
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[More Information Needed]
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**APA:**
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| 188 |
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[More Information Needed]
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## Glossary [optional]
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| 192 |
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| 193 |
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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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### Framework versions
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| 209 |
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- PEFT 0.18.1
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meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/adapter_config.json
ADDED
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@@ -0,0 +1,50 @@
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": {
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| 6 |
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"base_model_class": "LlamaForCausalLM",
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| 7 |
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"parent_library": "transformers.models.llama.modeling_llama",
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| 8 |
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"unsloth_fixed": true
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| 9 |
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},
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| 10 |
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"base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B",
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| 11 |
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"bias": "none",
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| 12 |
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"corda_config": null,
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| 13 |
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"ensure_weight_tying": false,
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"eva_config": null,
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| 15 |
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"exclude_modules": null,
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| 16 |
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"fan_in_fan_out": false,
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| 17 |
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"inference_mode": true,
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| 18 |
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"init_lora_weights": true,
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| 19 |
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"layer_replication": null,
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| 20 |
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"layers_pattern": null,
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| 21 |
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"layers_to_transform": null,
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| 22 |
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"loftq_config": {},
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| 23 |
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"lora_alpha": 16,
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| 24 |
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"lora_bias": false,
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| 25 |
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"lora_dropout": 0.0,
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| 26 |
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"megatron_config": null,
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| 27 |
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"megatron_core": "megatron.core",
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| 28 |
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"modules_to_save": null,
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| 29 |
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"peft_type": "LORA",
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| 30 |
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"peft_version": "0.18.1",
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| 31 |
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"qalora_group_size": 16,
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| 32 |
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"r": 8,
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| 33 |
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"rank_pattern": {},
|
| 34 |
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"revision": null,
|
| 35 |
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"target_modules": [
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| 36 |
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"o_proj",
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| 37 |
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"down_proj",
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| 38 |
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"up_proj",
|
| 39 |
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"gate_proj",
|
| 40 |
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"k_proj",
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| 41 |
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"v_proj",
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| 42 |
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"q_proj"
|
| 43 |
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],
|
| 44 |
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"target_parameters": null,
|
| 45 |
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"task_type": "CAUSAL_LM",
|
| 46 |
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"trainable_token_indices": null,
|
| 47 |
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"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50d4423335b38d92fd7ebe7e63ac271dd88b77d67b2913c813c54f1a8bc2c8f2
|
| 3 |
+
size 83945296
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/chat_template.jinja
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
|
| 2 |
+
|
| 3 |
+
' }}{% set loop_messages = messages[1:] %}{% else %}{{ '' + '
|
| 4 |
+
|
| 5 |
+
' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
|
| 6 |
+
' + message['content'] + '
|
| 7 |
+
|
| 8 |
+
' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
|
| 9 |
+
' + message['content'] + eos_token + '
|
| 10 |
+
|
| 11 |
+
' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
|
| 12 |
+
' }}{% endif %}
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:8eff1430f0a5904d595dcef1e17dc9c50e2f044e25f78e5ece8fcfab7ae4bb5f
|
| 3 |
+
size 43127973
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:368c188f4019dee48f24d30cffeef109d0d367163b73096063e69c443f7ebbdf
|
| 3 |
+
size 14645
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:5e8eb9979eb54b15304ceed82df37a0d182460ea9f12d3e89c602d4ebdec5445
|
| 3 |
+
size 1465
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
|
| 3 |
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size 17210099
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|begin_of_text|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|end_of_text|>",
|
| 6 |
+
"from_slow": true,
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 131072,
|
| 14 |
+
"pad_token": "<|finetune_right_pad_id|>",
|
| 15 |
+
"padding_side": "right",
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": null
|
| 18 |
+
}
|
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/trainer_state.json
ADDED
|
@@ -0,0 +1,2239 @@
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