Model Card on HF 🤗: https://huggingface.co/bachngo/mis
Mis 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)
Mis Parameters and Internals
| LLM Name | Mis |
| Repository 🤗 | https://huggingface.co/bachngo/mis |
| Model Size | 7.3b |
| Required VRAM | 14.6 GB |
| Updated | 2025-04-07 |
| Maintainer | bachngo |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 38369 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mis
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dictalm2.0 Instruct | 32K / 14.5 GB | 9091 | 22 |
| Dictalm2.0 | 32K / 14.5 GB | 12085 | 16 |
| My Tokenizer 100 10000 | 32K / 22.3 GB | 11 | 0 |
| My Tokenizer 50 20000 | 32K / 14.6 GB | 7 | 0 |
| Dictalm2 It Qa Fine Tune | 32K / 14.5 GB | 3140 | 5 |
| Dictalm2.0 Instruct Fine Tuned | 32K / 14.5 GB | 5826 | 0 |
| ... Fine Tuned Alpaca Gpt4 Hebrew | 32K / 14.5 GB | 4495 | 0 |
| Misjava Api 060924 V3 Merged | 32K / 14.6 GB | 11 | 0 |
| Quietstar 8 Ahead | 32K / 14.5 GB | 129 | 90 |
| Swallow Hermes St V1 | 4K / 14.6 GB | 11 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than bachngo/mis .
Rank the Mis Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 47753 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227