Model Card on HF 🤗: https://huggingface.co/emozilla/llama3-1.6b-init
Llama3 1.6B Init 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)
Llama3 1.6B Init Parameters and Internals
| LLM Name | Llama3 1.6B Init |
| Repository 🤗 | https://huggingface.co/emozilla/llama3-1.6b-init |
| Model Size | 1.6b |
| Required VRAM | 3.2 GB |
| Updated | 2025-02-22 |
| Maintainer | emozilla |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama3 1.6B Init
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 1.5 Pints 2K V0.1 | 16K / 3.1 GB | 608 | 16 |
| 1.5 Pints 16K V0.1 | 16K / 3.1 GB | 60 | 14 |
| Fox 1 1.6B | 8K / 3.3 GB | 306 | 31 |
| Fox 1 1.6B Instruct V0.1 | 8K / 3.3 GB | 101 | 15 |
| Subnet6 001 | 8K / 16.1 GB | 33 | 0 |
| 6 2 | 4K / 3.3 GB | 1547 | 0 |
| Model 6 | 4K / 3.3 GB | 945 | 0 |
| SN6 | 4K / 3.3 GB | 170 | 0 |
| Mymodel | 4K / 3.3 GB | 170 | 0 |
| 6 1 | 4K / 3.3 GB | 170 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than emozilla/llama3-1.6b-init .
Rank the Llama3 1.6B Init Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227