初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Mellum-4b-base
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+datasets:
+- bigcode/the-stack
+- bigcode/the-stack-v2
+- bigcode/starcoderdata
+- bigcode/commitpack
+library_name: mlx
+tags:
+- code
+- mlx
+base_model: JetBrains/Mellum-4b-base
+pipeline_tag: text-generation
+model-index:
+- name: Mellum-4b-base
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: RepoBench 1.1 (Python)
+      type: tianyang/repobench_python_v1.1
+    metrics:
+    - type: exact_match
+      value: 0.2591
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2797
+      name: EM ≤ 8k
+      verified: false
+    - type: exact_match
+      value: 0.282
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2795
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2777
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2453
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.211
+      name: EM
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      name: RepoBench 1.1 (Java)
+      type: tianyang/repobench_java_v1.1
+    metrics:
+    - type: exact_match
+      value: 0.2858
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.3108
+      name: EM ≤ 8k
+      verified: false
+    - type: exact_match
+      value: 0.3202
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.3212
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.291
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2492
+      name: EM
+      verified: false
+    - type: exact_match
+      value: 0.2474
+      name: EM
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      name: SAFIM
+      type: gonglinyuan/safim
+    metrics:
+    - type: pass@1
+      value: 0.3811
+      name: pass@1
+      verified: false
+    - type: pass@1
+      value: 0.253
+      name: pass@1
+      verified: false
+    - type: pass@1
+      value: 0.3839
+      name: pass@1
+      verified: false
+    - type: pass@1
+      value: 0.5065
+      name: pass@1
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval Infilling (Single-Line)
+      type: loubnabnl/humaneval_infilling
+    metrics:
+    - type: pass@1
+      value: 0.6621
+      name: pass@1
+      verified: false
+    - type: pass@1
+      value: 0.3852
+      name: pass@1
+      verified: false
+    - type: pass@1
+      value: 0.2969
+      name: pass@1
+      verified: false
+---
+
+# mlx-community/Mellum-4b-base
+
+This model [mlx-community/Mellum-4b-base](https://huggingface.co/mlx-community/Mellum-4b-base) was
+converted to MLX format from [JetBrains/Mellum-4b-base](https://huggingface.co/JetBrains/Mellum-4b-base)
+using mlx-lm version **0.25.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Mellum-4b-base")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
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+    "attention_dropout": 0.0,
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+    "eos_token_id": 0,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 3072,
+    "initializer_range": 0.02,
+    "intermediate_size": 8256,
+    "max_position_embeddings": 8192,
+    "max_sequence_length": 8192,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 24,
+    "num_hidden_layers": 30,
+    "num_key_value_heads": 24,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.3",
+    "use_cache": true,
+    "vocab_size": 98304
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.51.3"
+}

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