Model Card on HF 🤗: https://huggingface.co/lmlab/lmlab-mistral-1b-untrained
Lmlab Mistral 1B Untrained 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)
Lmlab Mistral 1B Untrained Parameters and Internals
| LLM Name | Lmlab Mistral 1B Untrained |
| Repository 🤗 | https://huggingface.co/lmlab/lmlab-mistral-1b-untrained |
| Model Size | 1b |
| Required VRAM | 4.5 GB |
| Updated | 2024-08-13 |
| Maintainer | lmlab |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Lmlab Mistral 1B Untrained
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ganga 1B | 128K / 4 GB | 278 | 15 |
| MD Judge V0.1 | 32K / 14.4 GB | 569 | 14 |
| Nucleus 1B Alpha 1 | 32K / 2.3 GB | 173 | 12 |
| Experimental Mistral 1B V00 | 32K / 3.5 GB | 161 | 2 |
| Mallam 1.1B 20K Instructions | 32K / 2.2 GB | 72 | 1 |
| Empty Phi 1B | 3K / 5.8 GB | 10 | 0 |
| Phi Filtered 500M C1 | 2K / 0.7 GB | 169 | 0 |
| Nucleus 1B GPTQ | 32K / 1 GB | 66 | 1 |
| Mistral 1B GPTQ | 32K / 1 GB | 66 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than lmlab/lmlab-mistral-1b-untrained .
Rank the Lmlab Mistral 1B Untrained Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227