T3Q LLM2 FP V1.0 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)
T3Q LLM2 FP V1.0 Parameters and Internals
| LLM Name | T3Q LLM2 FP V1.0 |
| Repository 🤗 | https://huggingface.co/T3Q-LLM/T3Q-LLM2-FP-v1.0 |
| Model Size | 10.7b |
| Required VRAM | 21.4 GB |
| Updated | 2024-10-18 |
| Maintainer | T3Q-LLM |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to T3Q LLM2 FP V1.0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SOLAR 10.7B Instruct V1.0 128K | 128K / 21.4 GB | 67 | 4 |
| SOLAR 10.7B V1.0 Instruct 16K | 16K / 21.4 GB | 63 | 2 |
| SOLAR 10.7B V1.0 Base 16K | 16K / 21.4 GB | 69 | 0 |
| SauerkrautLM SOLAR Instruct | 8K / 21.4 GB | 623 | 47 |
| MetaModelv2 | 8K / 21.4 GB | 1078 | 0 |
| PiVoT SOLAR 10.7B RP | 8K / 21.4 GB | 589 | 7 |
| Fimbulvetr V2 Kuro Lotus Bf16 | 8K / 21.5 GB | 27 | 2 |
| Kazemi 1.2 Solar | 8K / 21.4 GB | 0 | 0 |
| Bucharest 0.2 | 5K / 21.4 GB | 16 | 1 |
| SOLAR 10.7B Instruct V1.0 | 4K / 21.4 GB | 56060 | 612 |
Note: green Score (e.g. "73.2") means that the model is better than T3Q-LLM/T3Q-LLM2-FP-v1.0 .
Rank the T3Q LLM2 FP V1.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803