Autotrain compatible Axolotl Base model:finetune:salesforce... Base model:salesforce/xgen-sma... Conversational Dataset:mielikki/erebus-87k Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/hardlyworking/4Bcpt
4Bcpt 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)
4Bcpt Parameters and Internals
| LLM Name | 4Bcpt |
| Repository 🤗 | https://huggingface.co/hardlyworking/4Bcpt |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 8.8 GB |
| Updated | 2025-08-18 |
| 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 | 4.53.1 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
Best Alternatives to 4Bcpt
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| HoldMy4BKTO | 256K / 8.8 GB | 6 | 0 |
| Xgen Small 4B Instruct R | 256K / 17.7 GB | 17 | 3 |
| Xgen Small 4B Base R | 256K / 17.7 GB | 13 | 2 |
| SJT 4B | 146K / 7.6 GB | 6 | 0 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 39893 | 103 |
| Impish LLAMA 4B | 128K / 9 GB | 2944 | 39 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 900 | 4 |
| Aura 4B | 128K / 9 GB | 398 | 13 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 6 | 3 |
| Nemotron W 4b Halo 0.1 | 128K / 9.2 GB | 5 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than hardlyworking/4Bcpt .
Rank the 4Bcpt Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124