Arxiv:2403.09629 Autotrain compatible Dataset:open-web-math/open-web... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Quietstar 8 Ahead 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)
Quietstar 8 Ahead Parameters and Internals
| LLM Name | Quietstar 8 Ahead |
| Repository 🤗 | https://huggingface.co/ezelikman/quietstar-8-ahead |
| Model Size | 7.3b |
| Required VRAM | 14.5 GB |
| Updated | 2024-10-18 |
| Maintainer | ezelikman |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Quietstar 8 Ahead
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mis | 32K / 14.6 GB | 558 | 0 |
| Dictalm2.0 Instruct | 32K / 14.5 GB | 10378 | 18 |
| Dictalm2.0 | 32K / 14.5 GB | 7832 | 10 |
| Dictalm2 It Qa Fine Tune | 32K / 14.5 GB | 5335 | 3 |
| Dictalm2.0 Instruct Fine Tuned | 32K / 14.5 GB | 4939 | 0 |
| ... Fine Tuned Alpaca Gpt4 Hebrew | 32K / 14.5 GB | 3798 | 0 |
| Misjava Api 060924 V3 Merged | 32K / 14.6 GB | 5 | 0 |
| Swallow Hermes St V1 | 4K / 14.6 GB | 9 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than ezelikman/quietstar-8-ahead .
Rank the Quietstar 8 Ahead Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803