| Model Type |
| |||||||||
| Training Details |
|
| LLM Name | Smol Llama 220M GQA Fineweb Edu |
| Repository ๐ค | https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu |
| Base Model(s) | |
| Model Size | 220m |
| Required VRAM | 0.4 GB |
| Updated | 2025-09-23 |
| Maintainer | BEE-spoke-data |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32128 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...l Llama 220M GQA 32K Theta Sft | 32K / 0.4 GB | 10 | 2 |
| Smol Llama 220M GQA 32K Theta | 32K / 0.4 GB | 7 | 1 |
| Saily 220B | 4K / 417 GB | 1060 | 20 |
| Smol Llama 220M GQA | 2K / 0.4 GB | 3623 | 13 |
| Smol Llama 220M Openhermes | 2K / 0.4 GB | 1847 | 5 |
| Smol Llama 220M Open Instruct | 2K / 0.4 GB | 5 | 2 |
| Smol Llama 220M Bees Internal | 2K / 0.4 GB | 7 | 1 |
| Beecoder 220M Python | 2K / 0.4 GB | 9 | 3 |
| Saily 220B GPTQ | 4K / 105.2 GB | 9 | 1 |
| Saily 220B AWQ | 4K / 109.1 GB | 6 | 0 |
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