Autotrain compatible Conversational Dataset:n8programs/creativegpt En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Coxcomb 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)
Coxcomb Parameters and Internals
| LLM Name | Coxcomb |
| Repository 🤗 | https://huggingface.co/N8Programs/Coxcomb |
| Model Size | 7.2b |
| Required VRAM | 14.5 GB |
| Updated | 2024-09-19 |
| Maintainer | N8Programs |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.1 |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Coxcomb
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AI BIBLE 002 | 512K / 14.4 GB | 24 | 0 |
| Spydaz Web AI 08 | 512K / 14.5 GB | 76 | 1 |
| Spydaz Web AI ChatML 002 | 512K / 14.4 GB | 22 | 0 |
| Spydaz Web AI ChatQA 001 UFT | 512K / 14.4 GB | 28 | 1 |
| Spydaz Web AI ChatQA 001 SFT | 512K / 14.4 GB | 23 | 1 |
| Spydaz Web AI ChatQA 001 | 512K / 14.4 GB | 17 | 1 |
| Spydaz Web AI BIBLE 001 | 512K / 14.4 GB | 12 | 0 |
| Spydaz Web AI 010 | 512K / 14.5 GB | 14 | 0 |
| Openchat 3.5 0106 128K DPO | 128K / 14.4 GB | 61 | 2 |
| Mistral7B PairRM SPPO Iter2 | 32K / 14.4 GB | 4932 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than N8Programs/Coxcomb .
Rank the Coxcomb Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803