Autotrain compatible Conversational Endpoints compatible Lora Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/SepKeyPro/PyomoCodeQwen1.5-7B-Chat
PyomoCodeQwen1.5 7B Chat 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)
PyomoCodeQwen1.5 7B Chat Parameters and Internals
| Model Type |
| |||
| Training Details |
|
| LLM Name | PyomoCodeQwen1.5 7B Chat |
| Repository 🤗 | https://huggingface.co/SepKeyPro/PyomoCodeQwen1.5-7B-Chat |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-02-22 |
| Maintainer | SepKeyPro |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|k_proj|up_proj|gate_proj|o_proj|down_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to PyomoCodeQwen1.5 7B Chat
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 566357 | 1388 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 179293 | 438 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 4736 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 4052 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 1045 | 3 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 26 | 4 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 25 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 27 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 5 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 20 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than SepKeyPro/PyomoCodeQwen1.5-7B-Chat .
Rank the PyomoCodeQwen1.5 7B Chat Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227