16bit Autotrain compatible Base model:coexistai/deep ft13... Base model:finetune:coexistai/... Conversational En Endpoints compatible Grpo Pytorch Quantized Qwen2 Region:us Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/CoexistAI/deep_ft14_grp_16bit
Deep Ft14 Grp 16bit 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)
Deep Ft14 Grp 16bit Parameters and Internals
| LLM Name | Deep Ft14 Grp 16bit |
| Repository 🤗 | https://huggingface.co/CoexistAI/deep_ft14_grp_16bit |
| Base Model(s) | |
| Required VRAM | 3.5 GB |
| Updated | 2025-03-13 |
| Maintainer | CoexistAI |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 16bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
Best Alternatives to Deep Ft14 Grp 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Deep Ft11 Grp 16bit | 128K / 3.5 GB | 117 | 0 |
| Deep Ft9 Grp 16bit | 128K / 3.5 GB | 88 | 0 |
| Deep Ft12 Grp 16bit | 128K / 3.5 GB | 66 | 0 |
| Deep Ft13 Grp 16bit | 128K / 3.5 GB | 38 | 0 |
| Deep Ft6 Grp 16bit | 128K / 3.5 GB | 170 | 0 |
| XJJ DeepSeek R1 COT | 128K / 0.1 GB | 69 | 0 |
| C3D4e5F6 | 128K / 1 GB | 630 | 0 |
| Qwerty2 05bita | 128K / 1 GB | 569 | 0 |
| B2C3D4e5 | 128K / 1 GB | 50 | 0 |
| RP Jp 2 | 32K / 1 GB | 29 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than CoexistAI/deep_ft14_grp_16bit .
Rank the Deep Ft14 Grp 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227