Arxiv:1910.09700 4-bit Autotrain compatible Awq Conversational Endpoints compatible Quantized Region:us Safetensors Stablelm
Model Card on HF 🤗: https://huggingface.co/changchuntzu/project-m2-2024-dreamteam-awq_v2
Project M2 2024 Dreamteam AWQ V2 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)
Project M2 2024 Dreamteam AWQ V2 Parameters and Internals
| LLM Name | Project M2 2024 Dreamteam AWQ V2 |
| Repository 🤗 | https://huggingface.co/changchuntzu/project-m2-2024-dreamteam-awq_v2 |
| Model Size | 597.3m |
| Required VRAM | 1.8 GB |
| Updated | 2025-06-11 |
| Maintainer | changchuntzu |
| Model Type | stablelm |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | StableLmForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 50278 |
| Torch Data Type | float16 |
Best Alternatives to Project M2 2024 Dreamteam AWQ V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ect M2 2024 Dreamteam AWQ Full | 4K / 1.8 GB | 48 | 0 |
| Mcqa Model Full Only Mcqa AWQ | 4K / 1.8 GB | 13 | 0 |
| ...oject M2 2024 Dreamteam AWQ V1 | 4K / 1.8 GB | 24 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than changchuntzu/project-m2-2024-dreamteam-awq_v2 .
Rank the Project M2 2024 Dreamteam AWQ V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124