4-bit Autotrain compatible Awq Base model:jondurbin/bagel-34b... Base model:quantized:jondurbin... Conversational Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow
Smaug 34B V0.1 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)
Smaug 34B V0.1 AWQ Parameters and Internals
| LLM Name | Smaug 34B V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/LoneStriker/Smaug-34B-v0.1-AWQ |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 19.2 GB |
| Updated | 2024-11-08 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Smaug 34B V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Opus V1 34B AWQ | 195K / 19.2 GB | 7 | 1 |
| Yi 34B 200K RPMerge AWQ | 195K / 19.2 GB | 10 | 1 |
| Tess 34B V1.5B AWQ | 195K / 19.3 GB | 28 | 3 |
| ...34B 200K DARE Megamerge V8 AWQ | 195K / 19.3 GB | 40 | 2 |
| ...ey 34B 200K Chat Evaluator AWQ | 195K / 19.3 GB | 12 | 5 |
| Deepmoney 34B 200K Base AWQ | 195K / 19.3 GB | 17 | 1 |
| Nous Capybara Limarpv3 34B AWQ | 195K / 19.3 GB | 21 | 1 |
| Bagel DPO 34B V0.2 AWQ | 195K / 19.3 GB | 9 | 7 |
| Nontoxic Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 14 | 2 |
| Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 13 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Smaug-34B-v0.1-AWQ .
Rank the Smaug 34B V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803