Model Card on HF 🤗: https://huggingface.co/seeklhy/codes-15b-spider
Codes 15B Spider Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Codes 15B Spider Parameters and Internals
| LLM Name | Codes 15B Spider |
| Repository 🤗 | https://huggingface.co/seeklhy/codes-15b-spider |
| Model Size | 15b |
| Required VRAM | 62.1 GB |
| Updated | 2025-09-23 |
| Maintainer | seeklhy |
| Model Type | gpt_bigcode |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | GPTBigCodeForCausalLM |
| Transformers Version | 4.32.0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 49152 |
| Torch Data Type | float32 |
| Activation Function | gelu |
Best Alternatives to Codes 15B Spider
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| WizardCoder Guanaco 15B V1.1 | 0K / 31 GB | 1869 | 12 |
| WizardCoder Guanaco 15B V1.0 | 0K / 31 GB | 1831 | 5 |
| WizardCoder 15B V1.0 | 0K / 31 GB | 1675 | 762 |
| MoTCoder 15B V1.0 | 0K / 30.9 GB | 13 | 2 |
| Interplay AppCoder | 0K / 31.2 GB | 8 | 2 |
| Codes 15B Bird With Evidence | 0K / 62.1 GB | 6 | 0 |
| WizardCoderSQL 15B V1.0 | 0K / 31.2 GB | 55 | 1 |
| Ziya Coding 15B V1 | 0K / 31.1 GB | 7 | 4 |
| Codes 15B | 0K / 62.1 GB | 8 | 9 |
| ...zardCoder 15B V1.0 Sharded 8gb | 0K / 62.2 GB | 18 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than seeklhy/codes-15b-spider .
Rank the Codes 15B Spider Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124