Merged Model Autotrain compatible Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:doctor-shotgun/no-robo... Dataset:jondurbin/airoboros-3.... Dataset:norquinal/claude multi... En Endpoints compatible Instruct Llama Llama 2 Pytorch Region:us Smol llama
Smol Llama 220M GQA 32K Theta Sft 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)
Smol Llama 220M GQA 32K Theta Sft Parameters and Internals
| LLM Name | Smol Llama 220M GQA 32K Theta Sft |
| Repository 🤗 | https://huggingface.co/Doctor-Shotgun/smol_llama-220M-GQA-32k-theta-sft |
| Merged Model | Yes |
| Model Size | 220m |
| Required VRAM | 0.4 GB |
| Updated | 2024-09-07 |
| Maintainer | Doctor-Shotgun |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Smol Llama 220M GQA 32K Theta Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smol Llama 220M Open Instruct | 2K / 0.4 GB | 13 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/smol_llama-220M-GQA-32k-theta-sft .
Rank the Smol Llama 220M GQA 32K Theta Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803