Upload folder using huggingface_hub

README.md

@@ -1,82 +1,209 @@
----
-license: apache-2.0
-language:
-- en
-tags:
-- unity
-- unity3d
-- game-development
-- csharp
-- xr
-- vr
-- ar
-- openxr
-- code
-- finetuned
-- lora
-- qlora
-base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
-datasets:
-- vishnuOI/unity-dev-instructions
----
-
-# Unity Coder 30B
-
-A QLoRA fine-tuned adapter for [Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct)
-specialized for Unity game development in C#.
-
-## Training
-
-- **Base model**: Qwen/Qwen3-Coder-30B-A3B-Instruct (30B MoE, 3B active params)
-- **Method**: QLoRA (4-bit NF4, r=16, alpha=32, target: q/k/v/o/gate/up/down projections)
-- **Dataset**: [vishnuOI/unity-dev-instructions](https://huggingface.co/datasets/vishnuOI/unity-dev-instructions)
-- **Training pairs**: 16,604 Unity instruction pairs
-- **Sources**: Unity docs (32K pairs scraped), Stack Overflow [unity3d], GitHub Unity C# repos
-- **Hardware**: 2x NVIDIA A100 80GB PCIe
-
-## Capabilities
-
-- Unity C# scripting (MonoBehaviour, ScriptableObjects, coroutines, events)
-- XR/VR development (OpenXR, XR Interaction Toolkit, spatial anchors)
-- Physics, animation, UI Toolkit, NavMesh
-- URP/HDRP shaders and rendering
-- DOTS/ECS/Burst/Jobs performance patterns
-- Editor scripting and tooling
-
-## Usage
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
-from peft import PeftModel
-import torch
-
-base_model_id = "Qwen/Qwen3-Coder-30B-A3B-Instruct"
-adapter_id    = "vishnuOI/unity-coder-30b"
-
-bnb_config = BitsAndBytesConfig(
-    load_in_4bit=True,
-    bnb_4bit_quant_type="nf4",
-    bnb_4bit_compute_dtype=torch.bfloat16,
-)
-
-tokenizer = AutoTokenizer.from_pretrained(base_model_id)
-model = AutoModelForCausalLM.from_pretrained(
-    base_model_id,
-    quantization_config=bnb_config,
-    device_map="auto",
-    torch_dtype=torch.bfloat16,
-)
-model = PeftModel.from_pretrained(model, adapter_id)
-model.eval()
-
-messages = [
-    {"role": "system", "content": "You are an expert Unity game developer."},
-    {"role": "user",   "content": "Write a MonoBehaviour that spawns enemies at random positions."},
-]
-text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-inputs = tokenizer(text, return_tensors="pt").to(model.device)
-
-with torch.no_grad():
-    out = model.generate(**inputs, max_new_tokens=512, temperature=0.1, do_sample=True)
-print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
-```
+---
+base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-Coder-30B-A3B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# 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 0.18.1

adapter_config.json

@@ -29,13 +29,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "o_proj",
-    "q_proj",
-    "gate_proj",
-    "v_proj",
     "k_proj",
+    "gate_proj",
+    "down_proj",
     "up_proj",
-    "down_proj"
+    "q_proj",
+    "o_proj",
+    "v_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ec62876de622d14dedb4da963455955477c39c9268502906c582db292796dfc
+oid sha256:6f4ef1dbb9f7787ab3148112c87f2a7d9d02e92254696c16776d37a9f68d7b58
 size 53528920

optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66efe6d162462dccc7ba946f706e7453625246b79b78e9f8b890eb06e8ce8379
+oid sha256:e9d49b34ffc26004e7323a7ea7275be9f3d88de427f1b9145808ddff1a23e5b6
 size 27614166

rng_state.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bbe6c9dc1ffcec3fabe9e60a4178bdb8df2583340910df5d99436b9812079d05
+oid sha256:6fad5e52ad01595270e97664d3a5a55131a3fc01d453ef52996e931b2e8c16a0
 size 14244

scheduler.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b215a27550f7e6212a372d3c82b0189b243e058c2f2aefe6a4194883d88ccdb6
+oid sha256:4d70abb18e169badc2cbbf7906db64f985be782fa6ad5262e9c2ffc08ce5867e
 size 1064

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:16c55af3229f91defd719bd313afa179de5164961715a6136bf7587ace17f152
-size 5240
+oid sha256:1eb7ddff0b8eb847ea5ca5a66b979b1f0a798b8752ebc076af990e3c9c0a5f31
+size 5176