8-bit Autotrain compatible Base model:quantized:qwen/code... Base model:qwen/codeqwen1.5-7b Conversational En Endpoints compatible Exl2 Pretrained Quantized Qwen2 Region:us Safetensors
CodeQwen1.5 7B EXL2 8.0bpw 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)
CodeQwen1.5 7B EXL2 8.0bpw Parameters and Internals
| LLM Name | CodeQwen1.5 7B EXL2 8.0bpw |
| Repository 🤗 | https://huggingface.co/Dracones/CodeQwen1.5-7B_exl2_8.0bpw |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.5 GB |
| Updated | 2024-10-18 |
| Maintainer | Dracones |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | exl2 |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <fim_pad> |
| Vocabulary Size | 92416 |
| Torch Data Type | bfloat16 |
Best Alternatives to CodeQwen1.5 7B EXL2 8.0bpw
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Bnb 4bit | 128K / 5.5 GB | 6212 | 1 |
| Qwen2 7B Bnb 4bit | 128K / 5.5 GB | 1912 | 3 |
| Tantrum 16bit | 128K / 15.2 GB | 15 | 0 |
| Qwen2 7B Matter 0.1 Slim A | 128K / 15.2 GB | 13 | 2 |
| ...lphin 2.9.2 Qwen2 7B Bpw6 EXL2 | 128K / 6.4 GB | 8 | 1 |
| PiSSA Qwen2 7B 4bit R128 5iter | 128K / 5.9 GB | 5 | 0 |
| Qwen2 7B Alpacha Merged 4bit | 128K / 5.6 GB | 6 | 0 |
| Qwen2 7B Alpacha Merged 16bit | 128K / 15.2 GB | 6 | 0 |
| Qwen2 7B 8bit | 128K / 8.1 GB | 9 | 1 |
| Qwen2 7B 4bit | 128K / 4.3 GB | 14 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Dracones/CodeQwen1.5-7B_exl2_8.0bpw .
Rank the CodeQwen1.5 7B EXL2 8.0bpw Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803