Clite 500M is an open-source language model by Fizzarolli. Features: 500m LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.
Axolotl Base model:finetune:h2oai/h2o-... Base model:h2oai/h2o-danube3-5... Conversational Dataset:kalomaze/opus instruct... En Endpoints compatible Instruct Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Fizzarolli/clite-500m
Clite 500M 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)
Clite 500M Parameters and Internals
| LLM Name | Clite 500M |
| Repository 🤗 | https://huggingface.co/Fizzarolli/clite-500m |
| Base Model(s) | |
| Model Size | 500m |
| Required VRAM | 1 GB |
| Updated | 2026-05-03 |
| Maintainer | Fizzarolli |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32001 |
| Torch Data Type | bfloat16 |
Rank the Clite 500M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a