Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/klandtech/hkcode-meta-QA5
Hkcode Meta QA5 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)
Hkcode Meta QA5 Parameters and Internals
| LLM Name | Hkcode Meta QA5 |
| Repository 🤗 | https://huggingface.co/klandtech/hkcode-meta-QA5 |
| Model Size | 10.8b |
| Required VRAM | 21.6 GB |
| Updated | 2024-07-15 |
| Maintainer | klandtech |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 40960 |
| Torch Data Type | float16 |
Best Alternatives to Hkcode Meta QA5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Korean Instruct 10.8B V1.0 32K | 32K / 21.6 GB | 9 | 10 |
| ...EVE Korean Instruct 10.8B V1.0 | 4K / 21.6 GB | 9491 | 160 |
| ...anoljaNEXT EEVE Instruct 10.8B | 4K / 21.6 GB | 11897 | 162 |
| ...Judgment Transducer 10.8B V2.0 | 4K / 21.6 GB | 5 | 0 |
| Eeve Leaderboard Inst V1.5 | 4K / 21.6 GB | 2157 | 0 |
| ...struct 10.8B V1.0 Empathy V0.1 | 4K / 21.6 GB | 6 | 0 |
| EEVE Korean Instruct 10.8B Var | 4K / 21.6 GB | 6 | 4 |
| EEVE 10.8 BOOK V0.1 | 4K / 21.6 GB | 5 | 1 |
| AlgograpV4 | 4K / 43.2 GB | 8 | 0 |
| Eeve DPO V3 | 4K / 21.6 GB | 472 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than klandtech/hkcode-meta-QA5 .
Rank the Hkcode Meta QA5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124