4-bit Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai... Bitsandbytes Conversational En Endpoints compatible Gguf Instruct Lora Mistral Not-for-all-audiences Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/lemonilia/ShoriRP-v0.75d
ShoriRP V0.75d Benchmarks
LMSys ELO: 1072 vs 1272 (so35)-15.7%
ARC: 63.14 vs 96.7 (so35)-34.7%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 60.78 vs 88.3 (so35)-31.2%
TruthfulQA: 68.26 vs 59 (gpt4)15.7%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 40.03 vs 96.4 (so35)-58.5%
LLME Score: 0.26564
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)
ShoriRP V0.75d Parameters and Internals
| LLM Name | ShoriRP V0.75d |
| Repository 🤗 | https://huggingface.co/lemonilia/ShoriRP-v0.75d |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2025-01-14 |
| Maintainer | lemonilia |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|gate_proj|q_proj|k_proj|o_proj|v_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 20 |
Best Alternatives to ShoriRP V0.75d
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReWiz 7B | 0K / 14.5 GB | 534 | 0 |
| ...wen Math 7b 24 1 100 1 Nonmath | 0K / 15.2 GB | 20 | 0 |
| Mistral 7B Instruct 4bit | 0K / 0.2 GB | 17 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 4208690 | 1240 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 6166 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 1182 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 53 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 19 | 0 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 15 | 1 |
| Mistral 7B Instruct Uz | 0K / 14.5 GB | 205 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than lemonilia/ShoriRP-v0.75d .
Rank the ShoriRP V0.75d Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 41301 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227