Adapter Conversational Endpoints compatible Finetuned Gguf Instruct Lora Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Jaward/CodeOptimus-Instruct-Mistral-7B-v0.1.gguf
CodeOptimus Instruct Mistral 7B V0.1.gguf 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)
CodeOptimus Instruct Mistral 7B V0.1.gguf Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | CodeOptimus Instruct Mistral 7B V0.1.gguf |
| Repository 🤗 | https://huggingface.co/Jaward/CodeOptimus-Instruct-Mistral-7B-v0.1.gguf |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2025-09-23 |
| Maintainer | Jaward |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | Adapter |
| License | mit |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|v_proj|o_proj|up_proj|k_proj|gate_proj|q_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to CodeOptimus Instruct Mistral 7B V0.1.gguf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lemonilia ShoriRP V0.75d | 0K / 0.2 GB | 8 | 1 |
| CRA V1 Guided 7B | 0K / 0.1 GB | 60 | 2 |
| Mistral Numericnlg FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Wikitable FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Charttotext FV | 0K / 0.3 GB | 5 | 0 |
| Zephyr 7B Beta Agent Instruct | 0K / 0.3 GB | 5 | 1 |
| Falcon 7B Instruct 4bit Lora | 0K / 0 GB | 0 | 1 |
| Qwen Megumin | 0K / 0.1 GB | 5 | 1 |
| Deepthink Reasoning Adapter | 0K / 0.2 GB | 4 | 3 |
| Mistral 7B Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Jaward/CodeOptimus-Instruct-Mistral-7B-v0.1.gguf .
Rank the CodeOptimus Instruct Mistral 7B V0.1.gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124