Model Card on HF 🤗: https://huggingface.co/janani4office2/results-sharded-bf16-5GB
Results Sharded Bf16 5GB 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)
Results Sharded Bf16 5GB Parameters and Internals
| LLM Name | Results Sharded Bf16 5GB |
| Repository 🤗 | https://huggingface.co/janani4office2/results-sharded-bf16-5GB |
| Required VRAM | 13.4 GB |
| Updated | 2025-09-23 |
| Maintainer | janani4office2 |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50432 |
| Torch Data Type | bfloat16 |
Best Alternatives to Results Sharded Bf16 5GB
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tiny Mpt Random Remote Code | 0K / 0 GB | 6617 | 0 |
| WangchanLion7B | 0K / 29.8 GB | 13 | 8 |
| Replit Code Instruct Glaive | 0K / 10.4 GB | 8 | 88 |
| Replit Coder | 0K / 5.2 GB | 13 | 0 |
| Gpt4all Mpt | 0K / 26.6 GB | 28 | 10 |
| Mpt Mini Shakespeare | 0K / 0 GB | 22 | 1 |
| PhoGPT 7B5 GGUF | 0K / 17 GB | 37 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than janani4office2/results-sharded-bf16-5GB .
Rank the Results Sharded Bf16 5GB Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124