4-bit Autotrain compatible Conversational Endpoints compatible Gptq Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/qeternity/Tess-70B-v1.6-Marlin
Tess 70B V1.6 Marlin 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)
Tess 70B V1.6 Marlin Parameters and Internals
| LLM Name | Tess 70B V1.6 Marlin |
| Repository 🤗 | https://huggingface.co/qeternity/Tess-70B-v1.6-Marlin |
| Model Size | 70b |
| Required VRAM | 36.3 GB |
| Updated | 2024-12-02 |
| Maintainer | qeternity |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32764 |
| Model Max Length | 32764 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | float16 |
Best Alternatives to Tess 70B V1.6 Marlin
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct AutoRound GPTQ 4bit | 128K / 39.9 GB | 1271 | 6 |
| ...B Instruct AutoRound GPTQ 4bit | 128K / 39.9 GB | 1059 | 0 |
| ...ama 3.1 70B Instruct Gptq 4bit | 128K / 39.9 GB | 24 | 4 |
| Opus V1.2 70B Marlin | 32K / 36.4 GB | 5 | 0 |
| MoMo 70B Lora 1.8.4 DPO GPTQ | 32K / 41.3 GB | 8 | 1 |
| MoMo 70B Lora 1.8.6 DPO GPTQ | 32K / 41.3 GB | 5 | 1 |
| Midnight Miqu 70B V1.5 GPTQ32G | 31K / 40.7 GB | 189 | 4 |
| ...Midnight Miqu 70B V1.0 GPTQ32G | 31K / 40.7 GB | 7 | 2 |
| Senku 70B GPTQ 4bit | 31K / 36.7 GB | 6 | 1 |
| Miqu 1 70B Sf GPTQ | 31K / 40.7 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than qeternity/Tess-70B-v1.6-Marlin .
Rank the Tess 70B V1.6 Marlin Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124