Model Card on HF 🤗: https://huggingface.co/EnvyIrys/finalround_8
Finalround 8 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)
Finalround 8 Parameters and Internals
| LLM Name | Finalround 8 |
| Repository 🤗 | https://huggingface.co/EnvyIrys/finalround_8 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-03-24 |
| Maintainer | EnvyIrys |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| Vocabulary Size | 128258 |
| Torch Data Type | bfloat16 |
Best Alternatives to Finalround 8
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 5272 | 682 |
| A6 | 1024K / 16.1 GB | 386 | 0 |
| A8 | 1024K / 16.1 GB | 284 | 0 |
| A4 | 1024K / 16.1 GB | 363 | 0 |
| A2 | 1024K / 16.1 GB | 360 | 0 |
| A18 | 1024K / 16.1 GB | 272 | 0 |
| A10 | 1024K / 16.1 GB | 303 | 0 |
| A12 | 1024K / 16.1 GB | 256 | 0 |
| A1 | 1024K / 16.1 GB | 308 | 0 |
| C31 | 1024K / 16.1 GB | 183 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than EnvyIrys/finalround_8 .
Rank the Finalround 8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227