4bit Autotrain compatible Conversational En Endpoints compatible Grpo Pytorch Quantized Qwen2 Region:us Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/CoexistAI/deep_ft5_grp_16bit
Deep Ft5 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 Ft5 Grp 16bit Parameters and Internals
| LLM Name | Deep Ft5 Grp 16bit |
| Repository 🤗 | https://huggingface.co/CoexistAI/deep_ft5_grp_16bit |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.5 GB |
| Updated | 2025-02-22 |
| Maintainer | CoexistAI |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| 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 Ft5 Grp 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... R1 Distill Qwen 1.5B Bnb 4bit | 128K / 1.6 GB | 121437 | 6 |
| ...ill Qwen 1.5B Unsloth Bnb 4bit | 128K / 1.8 GB | 65645 | 12 |
| DeepSeek R1 ForumNXT | 128K / 3.5 GB | 37 | 0 |
| Atlas Flash 1.5B Preview | 128K / 3.5 GB | 106 | 2 |
| Model | 128K / 3.5 GB | 12 | 0 |
| Qwen2 1.5B Bnb 4bit | 128K / 1.1 GB | 7631 | 6 |
| IcaroLM | 128K / 3.1 GB | 131 | 2 |
| Qwen2 1.5B 4bit | 128K / 0.9 GB | 20 | 0 |
| ...1.5B Instruct Unsloth Bnb 4bit | 32K / 1.5 GB | 18923 | 2 |
| FastApply 1.5B V1.0 | 32K / 3.1 GB | 13881 | 21 |
Note: green Score (e.g. "73.2") means that the model is better than CoexistAI/deep_ft5_grp_16bit .
Rank the Deep Ft5 Grp 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227