4-bit Autotrain compatible Awq Conversational Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/QFactor/Hermes-2-Theta-Llama-3-70B-AWQ
Hermes 2 Theta Llama 3 70B AWQ 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)
Hermes 2 Theta Llama 3 70B AWQ Parameters and Internals
| LLM Name | Hermes 2 Theta Llama 3 70B AWQ |
| Repository 🤗 | https://huggingface.co/QFactor/Hermes-2-Theta-Llama-3-70B-AWQ |
| Base Model(s) | |
| Model Size | 70b |
| Required VRAM | 39.8 GB |
| Updated | 2025-02-05 |
| Maintainer | QFactor |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.42.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Hermes 2 Theta Llama 3 70B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...0B Instruct Gradient 1048K AWQ | 1024K / 39.9 GB | 4 | 1 |
| ...70B Instruct Gradient 262K AWQ | 256K / 39.9 GB | 5 | 0 |
| Llama 3.3 70B Instruct AWQ | 128K / 39.9 GB | 44722 | 27 |
| ...lama 3.3 70B Instruct AWQ INT4 | 128K / 39.9 GB | 24503 | 16 |
| ... SauerkrautLM 70B Instruct AWQ | 128K / 39.9 GB | 107 | 4 |
| MultiVerse 70B AWQ | 32K / 41.3 GB | 80 | 2 |
| Opus V1.2 70B AWQ | 32K / 36.7 GB | 25 | 1 |
| QuartetAnemoi 70B T0.0001 AWQ | 31K / 36.7 GB | 5 | 1 |
| Senku 70B AWQ 4bit GEMM | 31K / 36.7 GB | 9 | 1 |
| Kiqu 70B AWQ | 31K / 36.7 GB | 18 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than QFactor/Hermes-2-Theta-Llama-3-70B-AWQ .
Rank the Hermes 2 Theta Llama 3 70B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227