Cma 7.8M Exp is an open-source language model by User01110. Features: 7.8m LLM, Context: 1K, LLM Explorer Score: 0.37.
Arithmetic-aware Cma Custom code Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/smollm-c... Dataset:openbmb/ultra-fineweb Dataset:openbmb/ultra-fineweb-... Experimental Pytorch Region:us Safetensors Small-language-model
Model Card on HF 🤗: https://huggingface.co/User01110/cma-7.8M-exp
Cma 7.8M Exp 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)
Cma 7.8M Exp Parameters and Internals
| LLM Name | Cma 7.8M Exp |
| Repository 🤗 | https://huggingface.co/User01110/cma-7.8M-exp |
| Model Size | 7.8m |
| Required VRAM | 0 GB |
| Updated | 2026-07-12 |
| Maintainer | User01110 |
| Model Type | cma |
| Model Files | |
| Model Architecture | CMAForCausalLM |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 5.13.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <eos> |
| Vocabulary Size | 4096 |
| Torch Data Type | float32 |
Rank the Cma 7.8M Exp 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? 55029 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