grpo_qwen3_4b_base_smoke_v2: Qwen3-4B-Base GRPO smoke artifact

.gitattributes

@@ -39,3 +39,4 @@ v2_phase_all_v3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 sft_qwen25_7b_curriculum400_v1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 grpo_qwen25_7b_adapter_smoke_v3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 grpo_qwen25_7b_adapter_phase1_100_v1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+grpo_qwen3_4b_base_smoke_v2/tokenizer.json filter=lfs diff=lfs merge=lfs -text

grpo_qwen3_4b_base_smoke_v2/README.md

@@ -0,0 +1,211 @@
+---
+base_model: unsloth/Qwen3-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/Qwen3-4B-Base
+- grpo
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1

grpo_qwen3_4b_base_smoke_v2/adapter_config.json

@@ -0,0 +1,52 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3ForCausalLM",
+    "parent_library": "transformers.models.qwen3.modeling_qwen3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/Qwen3-4B-Base",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "k_proj",
+    "gate_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

grpo_qwen3_4b_base_smoke_v2/adapter_model.safetensors

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grpo_qwen3_4b_base_smoke_v2/added_tokens.json

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grpo_qwen3_4b_base_smoke_v2/chat_template.jinja

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+{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + eos_token }}{% set loop_messages = messages[1:] %}{% else %}{{ 'You are a climate-aware portfolio manager. You commit ONE allocation today that will hold locked for the next 12 quarters (3 years).\n\nObjective: maximize 3-year cumulative real return while surviving macro shocks. Base case is normal markets. Hedge ONLY if today\'s news strongly signals a regime shift.\n\nConstraints & rules:\n- 5 assets: [TECH, OIL, GREEN, REAL_ESTATE, BONDS]. Weights non-negative, sum to 1.0.\n- Carbon cap: cumulative carbon must stay strictly below 25 kg over the 12-quarter cycle. OIL emits heavily (2.5 kg/$); GREEN ~zero; BONDS zero.\n- Regimes that may arrive via shocks: stagflation favors OIL/REAL_ESTATE and crushes BONDS; deflation favors BONDS; transition shocks favor GREEN; physical-risk shocks hurt REAL_ESTATE.\n- Interventions (use only if justified by today\'s news):\n  * infra_commit (0-0.2): 4-quarter capital lockup. High yield IF transition shocks hit during lockup; loses value if physical-risk shocks hit.\n  * carbon_offset_buy (0-0.1): increases carbon headroom (1 unit NAV -> 10 kg offset). Costly.\n  * put_hedge (0-0.05): caps quarterly drawdown at -5% if portfolio falls > 15%. Bleeds 2%/q premium - use sparingly.\n  * tech_bet (Q1-only thesis, choose one): status_quo / green_leaps / carbon_priced / inflationary / fragmentation.\n\nDo NOT attempt to simulate quarter-by-quarter. Reason at the macro-cycle level. Keep <think> under 300 words; total completion under 400 tokens.\n\nOutput format (exact):\n<think>\n[macro-cycle reasoning: how today\'s news shapes 1st/2nd/3rd-order impacts on each asset, and why your allocation survives plausible regime shifts]\n</think>\n{"weights": [w_tech, w_oil, w_green, w_re, w_bonds], "infra_commit": 0.0, "carbon_offset_buy": 0.0, "put_hedge": 0.0, "tech_bet": "status_quo"}' + eos_token }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ message['content'] }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<think>\n' }}{% endif %}

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