Model Card on HF 🤗: https://huggingface.co/gibbous-ml/623-model
623 Model 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)
623 Model Parameters and Internals
| LLM Name | 623 Model |
| Repository 🤗 | https://huggingface.co/gibbous-ml/623-model |
| Model Size | 7b |
| Updated | 2025-06-09 |
| Maintainer | gibbous-ml |
| Model Type | mistral |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to 623 Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al Nemo Instruct 2407 Bnb 4bit | 128K / 8.3 GB | 250807 | 27 |
| ...istral Nemo Base 2407 Bnb 4bit | 128K / 8.3 GB | 2254 | 17 |
| ...t 3.5 0106 128K 4.0bpw H6 EXL2 | 128K / 3.9 GB | 22 | 1 |
| ...t 3.5 0106 128K 8.0bpw H8 EXL2 | 128K / 7.4 GB | 19 | 1 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 63092 | 28 |
| Mistral 7B V0.3 Bnb 4bit | 32K / 4.1 GB | 24349 | 16 |
| Mixtral V0.3 Full 16bit | 32K / 14.5 GB | 54 | 0 |
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 26 | 0 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 27361 | 32 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 229 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than gibbous-ml/623-model .
Rank the 623 Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124