Model Card on HF 🤗: https://huggingface.co/LeoLearntoCode/llama-1.3b-16k
Llama 1.3B 16K 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)
Llama 1.3B 16K Parameters and Internals
| LLM Name | Llama 1.3B 16K |
| Repository 🤗 | https://huggingface.co/LeoLearntoCode/llama-1.3b-16k |
| Model Size | 1.3b |
| Required VRAM | 2.6 GB |
| Updated | 2025-02-22 |
| Maintainer | LeoLearntoCode |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 16600 |
| Model Max Length | 16600 |
| Transformers Version | 4.41.2 |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Llama 1.3B 16K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 1.3B 32K | 32K / 2.6 GB | 175 | 2 |
| Deepseek Coder 1.3B Instruct | 16K / 2.7 GB | 64461 | 113 |
| ...c Deepseek Coder 1.3B Instruct | 16K / 5.4 GB | 74 | 0 |
| Llm4decompile 1.3B V2 | 16K / 2.7 GB | 674 | 8 |
| CursorCore DS 1.3B SR | 16K / 2.7 GB | 163 | 0 |
| CursorCore DS 1.3B LC | 16K / 2.7 GB | 162 | 0 |
| CursorCore DS 1.3B | 16K / 2.7 GB | 161 | 0 |
| Speechless Coder Ds 1.3B | 16K / 2.7 GB | 1868 | 0 |
| Deepseek Coder 1.3B Base | 16K / 2.7 GB | 66893 | 83 |
| Hpc Coder V2.1.3B | 16K / 2.7 GB | 131 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than LeoLearntoCode/llama-1.3b-16k .
Rank the Llama 1.3B 16K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227