Autotrain compatible Base model:bee-spoke-data/smol... Base model:finetune:bee-spoke-... Dataset:vmware/open-instruct Endpoints compatible Instruct Llama Model-index Region:us Safetensors
Smol Llama 220M Open Instruct Benchmarks
ARC: 25 vs 96.7 (so35)-74.1%
HellaSwag: 29.71 vs 95.3 (gpt4)-68.8%
MMLU: 26.11 vs 88.3 (so35)-70.4%
TruthfulQA: 44.06 vs 59 (gpt4)-25.3%
WinoGrande: 50.28 vs 87.5 (gpt4)-42.5%
LLME Score: 0.23077
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)
Smol Llama 220M Open Instruct Parameters and Internals
| LLM Name | Smol Llama 220M Open Instruct |
| Repository 🤗 | https://huggingface.co/BEE-spoke-data/smol_llama-220M-open_instruct |
| Base Model(s) | |
| Model Size | 220m |
| Required VRAM | 0.4 GB |
| Updated | 2024-09-07 |
| Maintainer | BEE-spoke-data |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32128 |
| Torch Data Type | bfloat16 |
Best Alternatives to Smol Llama 220M Open Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...l Llama 220M GQA 32K Theta Sft | 32K / 0.4 GB | 7 | 2 |
Rank the Smol Llama 220M Open Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803