Model Card on HF 🤗: https://huggingface.co/ContextualAI/tiny-random-MistralForCausalLM
Tiny Random MistralForCausalLM 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)
Tiny Random MistralForCausalLM Parameters and Internals
| LLM Name | Tiny Random MistralForCausalLM |
| Repository 🤗 | https://huggingface.co/ContextualAI/tiny-random-MistralForCausalLM |
| Required VRAM | 0 GB |
| Updated | 2025-03-22 |
| Maintainer | ContextualAI |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Tiny Random MistralForCausalLM
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 863 | 27 |
| Ft V1 Violet | 1000K / 24.5 GB | 13 | 0 |
| Tiny Random MistralForCausalLM | 128K / 0 GB | 6988 | 1 |
| Winterreise M7 | 32K / 14.4 GB | 0 | 0 |
| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
| ...ydaz Web AI Reasoner BaseModel | 32K / 14.4 GB | 0 | 1 |
| MistralLite | 32K / 14.4 GB | 2678 | 430 |
| Snorkel Mistral PairRM DPO | 32K / 14.4 GB | 1665 | 106 |
| Tess XS V1.3 Yarn 128K | 32K / 14.5 GB | 5989 | 13 |
| Mini Synatra SFT | 32K / 15 GB | 3693 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than ContextualAI/tiny-random-MistralForCausalLM .
Rank the Tiny Random MistralForCausalLM Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227