Model Card on HF 🤗: https://huggingface.co/mrfakename/TinyLlama-Mistral
TinyLlama Mistral Benchmarks
ARC: 23.81 vs 96.7 (so35)-75.4%
HellaSwag: 32.69 vs 95.3 (gpt4)-65.7%
MMLU: 24.54 vs 88.3 (so35)-72.2%
TruthfulQA: 36.97 vs 59 (gpt4)-37.3%
WinoGrande: 53.59 vs 87.5 (gpt4)-38.8%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.19579
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)
TinyLlama Mistral Parameters and Internals
| LLM Name | TinyLlama Mistral |
| Repository 🤗 | https://huggingface.co/mrfakename/TinyLlama-Mistral |
| Model Size | 1.1b |
| Required VRAM | 4.4 GB |
| Updated | 2024-09-30 |
| Maintainer | mrfakename |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.31.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to TinyLlama Mistral
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hare 1.1B Base 0.5v | 32K / 2.4 GB | 47 | 0 |
| Hare 1.1B Base | 32K / 2.2 GB | 81 | 7 |
| Hare 1.1B Chat | 32K / 2.2 GB | 37 | 0 |
| Hare 1.1B Tool | 32K / 2.2 GB | 10 | 1 |
| Dipsmol | 32K / 2.2 GB | 5 | 0 |
| Mistral 1.1B Testing | 32K / 4.4 GB | 6 | 1 |
| Stealth Rag V1.1 | 32K / 14.4 GB | 5 | 0 |
| Stealth Rag V1 E1 | 32K / 14.4 GB | 6 | 1 |
| Mallam 1.1B 4096 | 32K / 2.2 GB | 76 | 9 |
| ...Mistral En 1.1B Coder Wizardlm | 4K / 2.4 GB | 4 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mrfakename/TinyLlama-Mistral .
Rank the TinyLlama Mistral Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124