4BTestRC is an open-source language model by hardlyworking. Features: 4.4b LLM, VRAM: 8.8GB, Context: 256K, License: cc-by-nc-4.0, LLM Explorer Score: 0.19.
Axolotl Base model:finetune:hardlywork... Base model:hardlyworking/holdm... Conversational Dataset:pocketdoc/dans-prosema... Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/hardlyworking/4BTestRC
4BTestRC 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)
4BTestRC Parameters and Internals
| LLM Name | 4BTestRC |
| Repository 🤗 | https://huggingface.co/hardlyworking/4BTestRC |
| Base Model(s) | |
| Model Size | 4.4b |
| Required VRAM | 8.8 GB |
| Updated | 2026-04-26 |
| Maintainer | hardlyworking |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a