Merged Model 4-bit Autotrain compatible Awq Conversational Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weni/WeniGPT-Agents-Llama3-5.0.79-SFT-AWQ
WeniGPT Agents Llama3 5.0.79 SFT AWQ 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)
WeniGPT Agents Llama3 5.0.79 SFT AWQ Parameters and Internals
| LLM Name | WeniGPT Agents Llama3 5.0.79 SFT AWQ |
| Repository 🤗 | https://huggingface.co/Weni/WeniGPT-Agents-Llama3-5.0.79-SFT-AWQ |
| Merged Model | Yes |
| Model Size | 11.3b |
| Required VRAM | 39.9 GB |
| Updated | 2025-09-23 |
| Maintainer | Weni |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to WeniGPT Agents Llama3 5.0.79 SFT AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...T Agents Llama3 5.0.95 DPO AWQ | 8K / 39.9 GB | 6 | 0 |
| Functionary Medium V3.0 AWQ | 8K / 39.9 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Weni/WeniGPT-Agents-Llama3-5.0.79-SFT-AWQ .
Rank the WeniGPT Agents Llama3 5.0.79 SFT AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124