Arxiv:1910.09700 4bit Autotrain compatible Codegen Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth
Model Card on HF 🤗: https://huggingface.co/quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft
Fast Apply V0.2 Qwen2.5 Coder 7B Ft 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)
Fast Apply V0.2 Qwen2.5 Coder 7B Ft Parameters and Internals
| LLM Name | Fast Apply V0.2 Qwen2.5 Coder 7B Ft |
| Repository 🤗 | https://huggingface.co/quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2024-10-24 |
| Maintainer | quocdat25 |
| Model Type | qwen2 |
| Model Files | |
| Quantization Type | 4bit |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Fast Apply V0.2 Qwen2.5 Coder 7B Ft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 Coder 7B Bnb 4bit | 32K / 5.5 GB | 45663 | 8 |
| Qwen2.5 CoderX 7B V0.7 | 32K / 15.2 GB | 4 | 2 |
| Qwen2.5 CoderX 7B V0.5 | 32K / 15.2 GB | 3 | 2 |
| ...2.5 Coder 7B Instruct Bnb 4bit | 32K / 5.5 GB | 9168 | 7 |
| Sft Model | 32K / 15.2 GB | 7 | 0 |
| FastApply 7B V1.0 | 32K / 15.2 GB | 1146 | 34 |
| UIGEN 7B 16bit | 32K / 15.2 GB | 3 | 5 |
| Qwen2.5 Coder 7B Instruct 4bit | 32K / 4.3 GB | 1254 | 5 |
| ...en2.5.1 Coder 7B Instruct 4bit | 32K / 4.3 GB | 11 | 3 |
| ...en2.5.1 Coder 7B Instruct 8bit | 32K / 8.1 GB | 13 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft .
Rank the Fast Apply V0.2 Qwen2.5 Coder 7B Ft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124