Model Card on HF 🤗: https://huggingface.co/Xenova/llama2.c-stories42M
Llama2.c Stories42M 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)
Llama2.c Stories42M Parameters and Internals
| Model Type |
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| Input Output |
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| LLM Name | Llama2.c Stories42M |
| Repository 🤗 | https://huggingface.co/Xenova/llama2.c-stories42M |
| Required VRAM | 0.2 GB |
| Updated | 2025-04-27 |
| Maintainer | Xenova |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.33.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
Best Alternatives to Llama2.c Stories42M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text 512K | 512K / 13.5 GB | 13 | 2 |
| LWM Text Chat 512K | 512K / 13.5 GB | 2 | 2 |
| LWM Text Chat 256K | 256K / 13.5 GB | 4 | 3 |
| LWM Text 256K | 256K / 13.5 GB | 2 | 3 |
| Pallas 0.5 LASER 0.1 | 195K / 68.9 GB | 238 | 2 |
| Ukr Synth Phi 3.5 | 128K / 7.6 GB | 39 | 0 |
| WizardLM Phi 3.5 | 128K / 7.6 GB | 38 | 0 |
| Experimental Base V1 Bf16 | 128K / 141.9 GB | 14 | 0 |
| Ashley3b X 1.2 | 128K / 6.5 GB | 25 | 0 |
| Ashley3b X 1.3 | 128K / 6.5 GB | 14 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Xenova/llama2.c-stories42M .
Rank the Llama2.c Stories42M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227