Model Card on HF 🤗: https://huggingface.co/LiteAI/Hare-1.1B-base
Hare 1.1B Base 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)
Hare 1.1B Base Parameters and Internals
| LLM Name | Hare 1.1B Base |
| Repository 🤗 | https://huggingface.co/LiteAI/Hare-1.1B-base |
| Model Size | 1.1b |
| Required VRAM | 2.2 GB |
| Updated | 2024-08-21 |
| Maintainer | LiteAI |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Hare 1.1B Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hare 1.1B Base 0.5v | 32K / 2.4 GB | 47 | 0 |
| TinyLlama Mistral | 32K / 4.4 GB | 11 | 2 |
| Mistral 1.1B Testing | 32K / 4.4 GB | 819 | 1 |
| Dipsmol | 32K / 2.2 GB | 129 | 0 |
| Hare 1.1B Chat | 32K / 2.2 GB | 37 | 0 |
| Hare 1.1B Tool | 32K / 2.2 GB | 10 | 1 |
| Stealth Rag V1.1 | 32K / 14.4 GB | 15 | 0 |
| Stealth Rag V1 E1 | 32K / 14.4 GB | 16 | 1 |
| Mallam 1.1B 4096 | 32K / 2.2 GB | 404 | 5 |
| YuisekinAI Mistral 1.1B Aya | 4K / 2.4 GB | 117 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than LiteAI/Hare-1.1B-base .
Rank the Hare 1.1B Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227