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| Name | Quant method | Size |
|---|---|---|
| CodeMaster-v1-9b.Q2_K.gguf | Q2_K | 3.19GB |
| CodeMaster-v1-9b.IQ3_XS.gguf | IQ3_XS | 3.52GB |
| CodeMaster-v1-9b.IQ3_S.gguf | IQ3_S | 3.72GB |
| CodeMaster-v1-9b.Q3_K_S.gguf | Q3_K_S | 3.72GB |
| CodeMaster-v1-9b.IQ3_M.gguf | IQ3_M | 3.93GB |
| CodeMaster-v1-9b.Q3_K.gguf | Q3_K | 4.16GB |
| CodeMaster-v1-9b.Q3_K_M.gguf | Q3_K_M | 4.16GB |
| CodeMaster-v1-9b.Q3_K_L.gguf | Q3_K_L | 4.55GB |
| CodeMaster-v1-9b.IQ4_XS.gguf | IQ4_XS | 4.61GB |
| CodeMaster-v1-9b.Q4_0.gguf | Q4_0 | 4.84GB |
| CodeMaster-v1-9b.IQ4_NL.gguf | IQ4_NL | 4.86GB |
| CodeMaster-v1-9b.Q4_K_S.gguf | Q4_K_S | 4.87GB |
| CodeMaster-v1-9b.Q4_K.gguf | Q4_K | 5.16GB |
| CodeMaster-v1-9b.Q4_K_M.gguf | Q4_K_M | 5.16GB |
| CodeMaster-v1-9b.Q4_1.gguf | Q4_1 | 5.36GB |
| CodeMaster-v1-9b.Q5_0.gguf | Q5_0 | 5.89GB |
| CodeMaster-v1-9b.Q5_K_S.gguf | Q5_K_S | 5.89GB |
| CodeMaster-v1-9b.Q5_K.gguf | Q5_K | 6.06GB |
| CodeMaster-v1-9b.Q5_K_M.gguf | Q5_K_M | 6.06GB |
| CodeMaster-v1-9b.Q5_1.gguf | Q5_1 | 6.41GB |
| CodeMaster-v1-9b.Q6_K.gguf | Q6_K | 7.01GB |
| CodeMaster-v1-9b.Q8_0.gguf | Q8_0 | 9.07GB |
1slices:
2 - sources:
3 - model: KingNish/CodeMaster-v1-7b
4 layer_range: [0, 22]
5 - sources:
6 - model: KingNish/CodeMaster-v1-7b
7 layer_range: [10, 32]
8merge_method: passthrough
9dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "KingNish/CodeMaster-v1-9b"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=8192, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])