Merged Model Argilla/notus-7b-v1 Autotrain compatible Base model:argilla/notus-7b-v1 Base model:greennode/greennode... Base model:gritlm/gritlm-7b Conversational Custom code Endpoints compatible Gguf Greennode/greennode-mini-7b-mu... Gritlm/gritlm-7b Mistral Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/powermove72/Shark-1
Shark 1 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)
Shark 1 Parameters and Internals
| LLM Name | Shark 1 |
| Repository 🤗 | https://huggingface.co/powermove72/Shark-1 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-06-11 |
| Maintainer | powermove72 |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Shark 1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 12 | 3 |
| Boptruth Agatha 7B | 32K / 14.4 GB | 153 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 44 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 26 | 2 |
| Mistroll 7B V2.2 | 32K / 14.4 GB | 43102 | 12 |
| ...andle Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 59 | 0 |
| Mahou 1.2a Mistral 7B | 32K / 14.4 GB | 81 | 6 |
| Moxin 7B Chat | 32K / 0.9 GB | 312 | 32 |
| Moxin Chat 7B | 32K / 0.9 GB | 290 | 32 |
| Mistral V0.3 7B Cybersecurity | 32K / 14.5 GB | 52 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than powermove72/Shark-1 .
Rank the Shark 1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124