CodeHAWK 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)
CodeHAWK Parameters and Internals
| LLM Name | CodeHAWK |
| Repository 🤗 | https://huggingface.co/hawkCodes/CodeHAWK |
| Base Model(s) | |
| Model Size | 1.1b |
| Required VRAM | 0 GB |
| Updated | 2024-07-29 |
| Maintainer | hawkCodes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|o_proj|v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 8 |
Best Alternatives to CodeHAWK
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SpectraMind | 0K / 16.1 GB | 223 | 2 |
| Reflection Model | 0K / 0.2 GB | 0 | 1 |
| SpectraMindQ | 0K / 0.2 GB | 30 | 1 |
| Mistral Small Fujin Qlora | 0K / 0.8 GB | 16 | 1 |
| Ll3 C3 Lora New | 0K / 0 GB | 7 | 0 |
| Zephyr Phi 1 5 Sft Qlora | 0K / 0 GB | 5 | 0 |
| Phi Openllm Lb Test | 0K / 0 GB | 5 | 0 |
| Hua V0.1 | 0K / 0 GB | 6 | 0 |
| ...ew2 B0.001 0.5ultrafeedback I1 | 0K / 0 GB | 5 | 0 |
| ....001 0.5ultrafeedback LowLr I1 | 0K / 0 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hawkCodes/CodeHAWK .
Rank the CodeHAWK Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110