Model Card on HF 🤗: https://huggingface.co/moxin-org/moxin-llm-7b
Moxin Llm 7B 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)
Moxin Llm 7B Parameters and Internals
| LLM Name | Moxin Llm 7B |
| Repository 🤗 | https://huggingface.co/moxin-org/moxin-llm-7b |
| Model Size | 7b |
| Required VRAM | 0.9 GB |
| Updated | 2025-06-10 |
| Maintainer | moxin-org |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Moxin Llm 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 30 | 3 |
| Boptruth Agatha 7B | 32K / 14.4 GB | 113 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 24 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 22 | 2 |
| Mahou 1.2a Mistral 7B | 32K / 14.4 GB | 32 | 7 |
| ...andle Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 31 | 0 |
| Moxin Chat 7B | 32K / 0.9 GB | 290 | 32 |
| Mistral V0.3 7B Cybersecurity | 32K / 14.5 GB | 27 | 1 |
| Moxin 7B Chat | 32K / 0.9 GB | 32 | 33 |
| Moxin 7B LLM | 32K / 0.9 GB | 59 | 18 |
Note: green Score (e.g. "73.2") means that the model is better than moxin-org/moxin-llm-7b .
Rank the Moxin Llm 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124