PeiYangMe 0.7 is an open-source language model by Invalid-Null. Features: 6b LLM, VRAM: 12.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.18.
Autotrain compatible Base model:01-ai/yi-6b Base model:finetune:01-ai/yi-6... Chemistry En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Zh
Model Card on HF 🤗: https://huggingface.co/Invalid-Null/PeiYangMe-0.7
PeiYangMe 0.7 Benchmarks
MMLU Pro: 1.12
MUSR: 5.61
BBH: 3.6
IFEval: 14.91 vs 88 (so35)-83.1%
MATH Lvl 5: 1.13
LLME Score: 0.18296
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)
PeiYangMe 0.7 Parameters and Internals
| LLM Name | PeiYangMe 0.7 |
| Repository 🤗 | https://huggingface.co/Invalid-Null/PeiYangMe-0.7 |
| Base Model(s) | |
| Model Size | 6b |
| Required VRAM | 12.1 GB |
| Updated | 2025-09-23 |
| Maintainer | Invalid-Null |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to PeiYangMe 0.7
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 6B 200K | 195K / 12.1 GB | 16831 | 172 |
| Yi 6B 200K AEZAKMI V2 | 195K / 12.1 GB | 584 | 1 |
| Yi 6B 200K DPO | 195K / 12.1 GB | 691 | 0 |
| Wukong Yi 6B 200K | 195K / 12.1 GB | 5 | 1 |
| Barcenas 6B 200K | 195K / 12.1 GB | 1848 | 2 |
| Yi 6B 200K Llamafied | 195K / 12.1 GB | 10 | 11 |
| Yi 6B 200K Llama | 195K / 12.1 GB | 4 | 5 |
| Llama 3.2 6B AlgoCode | 128K / 12.7 GB | 23 | 1 |
| Chatglm2 6B Port Llama | 32K / 12.5 GB | 5 | 4 |
| Miqu 6B Truthy | 31K / 11.3 GB | 109 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Invalid-Null/PeiYangMe-0.7 .
Rank the PeiYangMe 0.7 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? 52721 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a