4-bit 4bit Autotrain compatible Awq Base model:cognitivecomputatio... Base model:quantized:cognitive... Endpoints compatible Mistral Pruna-ai Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-fc-dolphin-2.6-mistral-7b-dpo-laser-AWQ-4bit-smashed
Cognitivecomputations Fc Dolphin 2.6 Mistral 7B DPO Laser AWQ 4bit Smashed 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)
Cognitivecomputations Fc Dolphin 2.6 Mistral 7B DPO Laser AWQ 4bit Smashed Parameters and Internals
| Model Type |
|
| LLM Name | Cognitivecomputations Fc Dolphin 2.6 Mistral 7B DPO Laser AWQ 4bit Smashed |
| Repository 🤗 | https://huggingface.co/PrunaAI/cognitivecomputations-fc-dolphin-2.6-mistral-7b-dpo-laser-AWQ-4bit-smashed |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2025-06-09 |
| Maintainer | PrunaAI |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 32001 |
| Torch Data Type | float16 |
Best Alternatives to Cognitivecomputations Fc Dolphin 2.6 Mistral 7B DPO Laser AWQ 4bit Smashed
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 15 | 0 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 131768 | 45 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 4019 | 4 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 41 | 0 |
| Tess 7B V2.0 AWQ | 32K / 4.2 GB | 22 | 1 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 31 | 0 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 11 | 1 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 14 | 0 |
| ...Instruct V0.2 AWQ 4bit Smashed | 32K / 4.2 GB | 114 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-fc-dolphin-2.6-mistral-7b-dpo-laser-AWQ-4bit-smashed .
Rank the Cognitivecomputations Fc Dolphin 2.6 Mistral 7B DPO Laser AWQ 4bit Smashed Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124