Autotrain compatible Custom code Endpoints compatible Ggml Gguf Instruct Llama Q4 Quantized Region:us
PULI LlumiX 32K Instruct Q4 K M GGUF 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)
PULI LlumiX 32K Instruct Q4 K M GGUF Parameters and Internals
| LLM Name | PULI LlumiX 32K Instruct Q4 K M GGUF |
| Repository 🤗 | https://huggingface.co/fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2024-10-18 |
| Maintainer | fragata |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4|q4_k |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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| Sqlcoder 7B 2 | 16K / 13.5 GB | 44134 | 284 |
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| ...pseek Coder 6.7B Instruct GGUF | 16K / 2.5 GB | 671 | 6 |
| Bailong Orpo 7B | 4K / 14 GB | 34 | 5 |
| Latxa 7B Instruct | 4K / 13.5 GB | 30 | 0 |
| ...p 0.05 Max Grad1.0 Grad Accu32 | 32K / 14.4 GB | 6 | 0 |
| ...p 0.05 Max Grad1.0 Grad Accu32 | 32K / 14.4 GB | 5 | 0 |
| ...ruct Solidity Bnb 4bit Smashed | 16K / 4.2 GB | 5 | 0 |
| ...B Instruct Hf Bnb 4bit Smashed | 16K / 4.2 GB | 25 | 0 |
| CodelLama7B Inst DPO 7K Mlx | 16K / 4.2 GB | 6 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF .
Rank the PULI LlumiX 32K Instruct Q4 K M GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803