README.md
993 B · 32 lines · markdown Raw
1 ---
2 tags:
3 - gguf
4 - llama.cpp
5 - Anthropic Claude Fable 5
6 - Evol-Instruct-Code-80k-v1
7 - vision-language-model
8 license: ecl-2.0
9 datasets:
10 - nickrosh/Evol-Instruct-Code-80k-v1
11 - Qwen/DeepPlanning
12 metrics:
13 - code_eval
14 base_model:
15 - nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4
16 new_version: Tesleum/shirdel-coder-9b-claude-fable-5
17 pipeline_tag: reinforcement-learning
18 ---
19
20 # shirdel-coder-9b-claude-fable-5 : GGUF
21
22 Claude Fable 5–style instruction tuning combined with Evol-Instruct-Code-80k-v1.
23 Fine-tuned and converted to GGUF format using Q6_K quantization.
24
25 **Example usage**:
26 - For text only LLMs: `llama-cli -hf Tesleum/shirdel-coder-9b-claude-fable-5 --jinja`
27 - For multimodal models: `llama-mtmd-cli -hf Tesleum/shirdel-coder-9b-claude-fable-5 --jinja`
28
29 ## Available Model files:
30 - `Shirdel-Coder-9B-Claude-Fable-5.Q6_K.gguf`
31 - `Shirdel-Coder-9B-Claude-Fable-5.BF16-mmproj.gguf`
32 [<img src="https://avatars.githubusercontent.com/u/63446410?v=4" width="200"/>](https://tesleum.com)