Base model:finetune:rombodawg/... Base model:rombodawg/losslessm... Dataset:rombodawg/losslessmega... Ggml Llama Quantized Region:us Uncensored
LosslessMegaCoder Llama2 7B Mini GGML 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)
LosslessMegaCoder Llama2 7B Mini GGML Parameters and Internals
| LLM Name | LosslessMegaCoder Llama2 7B Mini GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/LosslessMegaCoder-Llama2-7B-Mini-GGML |
| Model Name | Lossless MegaCoder Llama2 7B Mini |
| Model Creator | Rombo Dawg |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3 GB |
| Updated | 2024-09-16 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
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| Llama2 7b Chat Uncensored GGML | 0K / 2.9 GB | 38 | 115 |
| ...rdLM Uncensored Falcon 7B GGML | 0K / 4.1 GB | 16 | 30 |
| Llama 2 7B Chat GGML | 0K / 2.9 GB | 2849 | 843 |
| Llama 2 GGML Medical Chatbot | 0K / GB | 35 | 16 |
| Llama 2 7B GGML | 0K / 2.9 GB | 150 | 216 |
| CodeLlama 7B GGML | 0K / 3 GB | 6 | 27 |
| CodeLlama 7B Python GGML | 0K / 2.9 GB | 18 | 23 |
| CodeLlama 7B Instruct GGML | 0K / 3 GB | 15 | 20 |
| Yarn Llama 2 7B 128K GGML | 0K / 2.9 GB | 2 | 6 |
| Yarn Llama 2 7B 64K GGML | 0K / 2.9 GB | 0 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LosslessMegaCoder-Llama2-7B-Mini-GGML .
Rank the LosslessMegaCoder Llama2 7B Mini GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803