Hugging Face's logo

AmareshHebbar
/
leetcode-cpp-qwen25-coder-7b

Text Generation
PEFT
Safetensors
GGUF
English
code
leetcode
cpp
code-generation
competitive-programming
qwen2.5-coder
dora
qdora
weight-decomposed-lora
instruction-tuned
sft
algorithm-generation
function-generation
coding-assistant
on-device
ollama
vllm
text-generation-inference
doocs-leetcode
synthetic-verification
quantized
algorithms
conversational
Model card Files
xet
 Community
AmareshHebbar commited on
Commit
81a62fb
·
verified ·
1 Parent(s): 85ab5b4

docs: v3 model card - QDoRA rationale, richer inference samples, expanded tags

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -30,7 +30,7 @@ language:
30
  library_name: peft
31
  pipeline_tag: text-generation
32
  datasets:
33
- - AmareshHebbar/leetcode-code-gen-datasets
34
  co2_eq_emissions:
35
  emissions: 0
36
  source: "estimate, not measured with a carbon-tracking tool"
@@ -48,7 +48,7 @@ model-index:
48
  ### Qwen2.5-Coder-7B, QDoRA fine-tuned to solve LeetCode problems in C++
49
 
50
  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Model-leetcode--cpp--qwen25--coder--7b-FFD21E)](https://huggingface.co/AmareshHebbar/leetcode-cpp-qwen25-coder-7b)
51
- [![Dataset](https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-leetcode--code--gen--datasets-blue)](https://huggingface.co/datasets/AmareshHebbar/leetcode-code-gen-datasets)
52
  [![GGUF](https://img.shields.io/badge/GGUF-quantized-6f42c1)](https://huggingface.co/AmareshHebbar/leetcode-cpp-qwen25-coder-7b-GGUF)
53
  [![License](https://img.shields.io/badge/license-Apache%202.0-green)](https://www.apache.org/licenses/LICENSE-2.0)
54
  [![Base Model](https://img.shields.io/badge/base-Qwen2.5--Coder--7B-orange)](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct)
@@ -88,7 +88,7 @@ public:
88
  |---|---|
89
  | **Base model** | [unsloth/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct) |
90
  | **Method** | QDoRA (quantized DoRA, not plain LoRA) |
91
- | **Training data** | [leetcode-code-gen-datasets](https://huggingface.co/datasets/AmareshHebbar/leetcode-code-gen-datasets) config `cpp` |
92
  | **Data provenance** | scraped from [doocs/leetcode](https://github.com/doocs/leetcode) (3,977 problems), execution-verified, no synthetic/LLM-generated solutions |
93
  | **Data quality** | execution-checked against sample I/O (see dataset card for exact rate) |
94
  | **Weights here** | QDoRA adapter only (~160MB) — load on top of the base model |
@@ -133,7 +133,7 @@ Run `benchmark_suite.py` from the deployment kit to reproduce. All numbers are p
133
  |---|---|---|---|---|
134
  | [HumanEval-X](https://huggingface.co/datasets/THUDM/humaneval-x) | C++ | _run benchmark_suite.py_ | _run benchmark_suite.py_ | 164 problems, execution-verified |
135
  | [MultiPL-E](https://huggingface.co/datasets/nuprl/MultiPL-E) (HumanEval subset) | C++ | _run benchmark_suite.py_ | — | cross-check vs HumanEval-X |
136
- | Held-out LeetCode test split | C++ | _run benchmark_suite.py_ | — | from `leetcode-code-gen-datasets` (`cpp`) test split, exact I/O match |
137
  | Tokens/sec (fp16, A40) | C++ | — | — | latency benchmark, see script |
138
  | Tokens/sec (GGUF q4_k_m, CPU) | C++ | — | — | latency benchmark, see script |
139
 
@@ -383,7 +383,7 @@ one-to-many problem-to-solution structure rather than picking a single "canonica
383
  | `build_language_datasets.py` | splits into per-language configs and writes the final train/val/test SFT rows |
384
 
385
  execution-checked against sample I/O (see dataset card for exact rate). Full extraction/verification/build code lives alongside the
386
- [leetcode-code-gen-datasets](https://huggingface.co/datasets/AmareshHebbar/leetcode-code-gen-datasets) dataset card.
387
 
388
  ### Hyperparameters
389
 
 
30
  library_name: peft
31
  pipeline_tag: text-generation
32
  datasets:
33
+ - AmareshHebbar/leetcode-codegen-cpp
34
  co2_eq_emissions:
35
  emissions: 0
36
  source: "estimate, not measured with a carbon-tracking tool"
 
48
  ### Qwen2.5-Coder-7B, QDoRA fine-tuned to solve LeetCode problems in C++
49
 
50
  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Model-leetcode--cpp--qwen25--coder--7b-FFD21E)](https://huggingface.co/AmareshHebbar/leetcode-cpp-qwen25-coder-7b)
51
+ [![Dataset](https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-leetcode--codegen--cpp-blue)](https://huggingface.co/datasets/AmareshHebbar/leetcode-codegen-cpp)
52
  [![GGUF](https://img.shields.io/badge/GGUF-quantized-6f42c1)](https://huggingface.co/AmareshHebbar/leetcode-cpp-qwen25-coder-7b-GGUF)
53
  [![License](https://img.shields.io/badge/license-Apache%202.0-green)](https://www.apache.org/licenses/LICENSE-2.0)
54
  [![Base Model](https://img.shields.io/badge/base-Qwen2.5--Coder--7B-orange)](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct)
 
88
  |---|---|
89
  | **Base model** | [unsloth/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct) |
90
  | **Method** | QDoRA (quantized DoRA, not plain LoRA) |
91
+ | **Training data** | [leetcode-codegen-cpp](https://huggingface.co/datasets/AmareshHebbar/leetcode-codegen-cpp) |
92
  | **Data provenance** | scraped from [doocs/leetcode](https://github.com/doocs/leetcode) (3,977 problems), execution-verified, no synthetic/LLM-generated solutions |
93
  | **Data quality** | execution-checked against sample I/O (see dataset card for exact rate) |
94
  | **Weights here** | QDoRA adapter only (~160MB) — load on top of the base model |
 
133
  |---|---|---|---|---|
134
  | [HumanEval-X](https://huggingface.co/datasets/THUDM/humaneval-x) | C++ | _run benchmark_suite.py_ | _run benchmark_suite.py_ | 164 problems, execution-verified |
135
  | [MultiPL-E](https://huggingface.co/datasets/nuprl/MultiPL-E) (HumanEval subset) | C++ | _run benchmark_suite.py_ | — | cross-check vs HumanEval-X |
136
+ | Held-out LeetCode test split | C++ | _run benchmark_suite.py_ | — | from `leetcode-codegen-cpp` test split, exact I/O match |
137
  | Tokens/sec (fp16, A40) | C++ | — | — | latency benchmark, see script |
138
  | Tokens/sec (GGUF q4_k_m, CPU) | C++ | — | — | latency benchmark, see script |
139
 
 
383
  | `build_language_datasets.py` | splits into per-language configs and writes the final train/val/test SFT rows |
384
 
385
  execution-checked against sample I/O (see dataset card for exact rate). Full extraction/verification/build code lives alongside the
386
+ [leetcode-codegen-cpp](https://huggingface.co/datasets/AmareshHebbar/leetcode-codegen-cpp) dataset card.
387
 
388
  ### Hyperparameters
389