16bit Autotrain compatible Conversational Endpoints compatible Ggml Gguf Instruct Mistral Pytorch Quantized Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/desi6ner/instruct_16bit
Instruct 16bit 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)
Instruct 16bit Parameters and Internals
| LLM Name | Instruct 16bit |
| Repository 🤗 | https://huggingface.co/desi6ner/instruct_16bit |
| Model Size | 7b |
| Required VRAM | 0.4 GB |
| Updated | 2025-02-22 |
| Maintainer | desi6ner |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|16bit|gguf |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Instruct 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B V0.2 Csn SFT | 32K / 14.4 GB | 15 | 0 |
| Filiberto 7B Instruct Exp1 | 32K / 14.5 GB | 31 | 0 |
| MistralMusic | 32K / 14.4 GB | 26 | 1 |
| BioMistral 7B DARE GGUF | 32K / 2.7 GB | 198 | 10 |
| ...ns Extraction Lora Merged GGUF | 32K / 5.1 GB | 10 | 0 |
| Synatra 7B V0.3 RP GGUF | 32K / 4.4 GB | 20 | 8 |
| Mistral Turkish Gguf | 32K / 5.1 GB | 14 | 1 |
| Rag Tge Pl Bielik | 4K / 14.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 6 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 17 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than desi6ner/instruct_16bit .
Rank the Instruct 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227