MHENNlitv3 is an open-source language model by netcat420. Features: 7.2b LLM, VRAM: 28.9GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/netcat420/MHENNlitv3
MHENNlitv3 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)
MHENNlitv3 Parameters and Internals
| LLM Name | MHENNlitv3 |
| Repository 🤗 | https://huggingface.co/netcat420/MHENNlitv3 |
| Model Size | 7.2b |
| Required VRAM | 28.9 GB |
| Updated | 2026-04-06 |
| Maintainer | netcat420 |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to MHENNlitv3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AGI DeepThink | 128K / 14.4 GB | 10 | 1 |
| ...daz Web AI Pre Train Align 004 | 128K / 14.4 GB | 28 | 0 |
| Zion Alpha | 32K / 14.4 GB | 1273 | 4 |
| LCARS AI 001 | 32K / 14.4 GB | 14 | 4 |
| Mixtral Quantized | 32K / 14.4 GB | 17 | 0 |
| Mayonnaise 4in1 02 | 32K / 14.4 GB | 156 | 0 |
| Zsql En Postgres | 32K / 14.4 GB | 64 | 5 |
| MHENNlitv2 | 32K / 28.9 GB | 6 | 0 |
| MHENNcodemathv2 | 32K / 28.9 GB | 21 | 0 |
| MHENNcodemath | 32K / 28.9 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENNlitv3 .
Rank the MHENNlitv3 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