Release Flint quantized checkpoint

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+assets/flint-logo.png filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,201 @@
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README.md

@@ -0,0 +1,45 @@
+---
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- mlx
+- int4
+- safetensors
+---
+
+<p align="center">
+  <img src="assets/flint-logo.png" width="160" alt="Flint logo">
+</p>
+
+<h1 align="center">Flint INT4</h1>
+
+MLX-format INT4 weights for [Recursive Flint](https://huggingface.co/RecursiveSI/flint), primarily intended for local inference on Apple Silicon. Projections and experts use **group-64 affine INT4**; embeddings use INT8. The weights occupy approximately **22.6 GB**.
+
+See [Flint’s model card](https://huggingface.co/RecursiveSI/flint) for model details, benchmarks, chat conventions, and limitations.
+
+## Use with Rec
+
+Follow [Rec’s requirements and installation guide](https://github.com/recursive-oss/rec#requirements), then launch pi or OpenCode:
+
+```bash
+rec launch pi
+# Or use OpenCode:
+rec launch opencode
+```
+
+See [Rec’s usage guide](https://github.com/recursive-oss/rec#usage) for configuration options.
+
+## Download the weights separately
+
+With the [Hugging Face CLI](https://huggingface.co/docs/huggingface_hub/guides/cli) installed:
+
+```bash
+hf download RecursiveSI/flint-int4 --local-dir flint-int4
+(cd flint-int4 && shasum -a 256 -c SHA256SUMS)
+```
+
+For llama.cpp on Metal, use [Flint INT4 GGUF](https://huggingface.co/RecursiveSI/flint-int4-gguf).
+
+## License
+
+[Apache License 2.0](LICENSE).

SHA256SUMS

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+0f820c3b0fb601cb8ff0b27ef1c2f5d4e2713dc0305ec5f150153446df735d56  README.md
+b95290bec100def989fd410999f8129d43068900705a0609a78cdbafa930ad61  assets/flint-logo.png
+7940f4ffa3275c36caa4a582f845aaad79da11018b3961e8fbcad6ae29733466  chat_template.jinja
+80f577a984db1bd40dfff88457b611d4c13e807704a945616be27f28809eed21  config.json
+281aa3bdcf2aa8cf5e402c3c46ee5008245c013aeb30a2f96ce62b9f43e58763  flint-int4.json
+a499c71895e008abd572558a5ad5904feaed92cf2a3b6e2cb0e9cabf03b96ed3  generation_config.json
+30a239f0781dde2668cf0ed0893d0d9c6f6f285127285274c96277fcd68962f7  merges.txt
+1a362742a0136c95ed751e2c56d83e63d4ed9ac674984b23b368f105d16cfe7a  model-00000.safetensors
+12979140fa019042ff5cdec4c0237cc87db13b56428ce7fe093dd9d33893ea32  model-00001.safetensors
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+9380ed032d90e0ff566d49672faf292f354b3b0e7320820c150eeed8c75e9d42  model-00003.safetensors
+c1ba12d2c2a80feb5e554554a01cfde2b71c2638e27fc0ee597b4121399eff99  model-00004.safetensors
+be37b302338dda189bc70bfbe902d8faebeb5986d60c1342713439eefc4ca182  special_tokens_map.json
+a263cce0b7e2b03f7ee07ce809783ef4b47f160c3f268a4ea1524f638da45b68  tokenizer.json
+159ac88217e90ffd0a4a294726048bb302829e82e1958dc85bb203aa79138fbf  tokenizer_config.json
+4003918aadec997451fe63c3d3b50cc65c9e3bdb9278e7ceb166d2ed9a3d56aa  vocab.json

chat_template.jinja

@@ -0,0 +1,61 @@
+{%- macro flint_text(t) -%}
+{%- if t is string -%}
+{{- t | replace("\x00", "") | replace("<think>", "") | replace("</think>", "") | replace("<|begin_of_text|>", "&lt;|begin_of_text|&gt;") | replace("<|end_of_text|>", "&lt;|end_of_text|&gt;") | replace("<|system|>", "&lt;|system|&gt;") | replace("<|developer|>", "&lt;|developer|&gt;") | replace("<|user|>", "&lt;|user|&gt;") | replace("<|assistant|>", "&lt;|assistant|&gt;") | replace("<|observation|>", "&lt;|observation|&gt;") -}}
+{%- else -%}
+{{- t -}}
+{%- endif -%}
+{%- endmacro -%}
+{%- set tool_preamble -%}
+{%- if tools %}<|system|>
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{%- for tool in tools %}
+{%- set fn = tool.function if tool.function is defined else tool %}
+{{ fn | tojson(ensure_ascii=False) }}
+{%- endfor %}
+</tools>
+
+For each function call, output the function name and arguments within the following XML format:
+<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value>...</tool_call>
+{% endif -%}
+{%- endset -%}
+{%- set ns = namespace(tools_pending=true) -%}
+{%- for m in messages -%}
+{%- if ns.tools_pending and m.role != 'system' -%}
+{{ tool_preamble }}
+{%- set ns.tools_pending = false -%}
+{%- endif -%}
+{%- if m.role == 'system' -%}
+<|system|>{{ flint_text(m.content) }}
+{%- elif m.role == 'developer' -%}
+<|developer|>{{ flint_text(m.content) }}
+{%- elif m.role == 'user' -%}
+<|user|>{{ flint_text(m.content) }}
+{%- elif m.role == 'assistant' -%}
+<|assistant|>
+{%- if m.reasoning_content %}<think>{{ m.reasoning_content }}</think>{% endif -%}
+{%- if m.content %}{{ m.content }}{% endif -%}
+{%- if m.tool_calls -%}
+{%- for tc in m.tool_calls -%}
+{%- set fn = tc.function if tc.function is defined else tc -%}
+<tool_call>{{ fn.name }}
+{%- for k, v in fn.arguments.items() -%}
+<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>
+{%- endfor -%}
+</tool_call>
+{%- endfor -%}
+{%- endif -%}
+{%- elif m.role == 'tool' -%}
+<|observation|><tool_response>{{ flint_text(m.content) }}</tool_response>
+{%- endif -%}
+{%- endfor -%}
+{%- if ns.tools_pending -%}
+{{ tool_preamble }}
+{%- endif -%}
+{%- if add_generation_prompt -%}
+<|assistant|>
+{%- endif -%}

config.json

@@ -0,0 +1,152 @@
+{
+  "architectures": [
+    "FlintForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attention_sink": true,
+  "bos_token_id": 150000,
+  "decoder_sparse_step": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    150001,
+    150003,
+    150005,
+    150018
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "intermediate_size": 6144,
+  "kv_group_size": 64,
+  "kv_key_bits": 8,
+  "kv_value_bits": 8,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "mlp_only_layers": [
+    0,
+    1
+  ],
+  "mlx_export": {
+    "bits": 4,
+    "embedding_bits": 8,
+    "full_attention_layers": [
+      0,
+      1,
+      5,
+      9,
+      13,
+      17,
+      21,
+      25,
+      29,
+      33,
+      37,
+      41,
+      45,
+      48
+    ],
+    "routed_expert_bits": 4,
+    "scale_rule": "mse"
+  },
+  "model_type": "flint",
+  "moe_intermediate_size": 512,
+  "no_rope_layer_indices": [
+    0,
+    1,
+    5,
+    9,
+    13,
+    17,
+    21,
+    25,
+    29,
+    33,
+    37,
+    41,
+    45,
+    48
+  ],
+  "norm_topk_prob": true,
+  "num_attention_heads": 32,
+  "num_experts": 256,
+  "num_experts_per_tok": 6,
+  "num_hidden_layers": 49,
+  "num_key_value_heads": 4,
+  "num_local_experts": 256,
+  "output_router_logits": false,
+  "quantization": {
+    "bits": 4,
+    "group_size": 64
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.0,
+  "router_expert_bias": false,
+  "scoring_func": "sigmoid",
+  "shared_expert_intermediate_size": 1024,
+  "sliding_window": 513,
+  "softmax_type": "learnable",
+  "softmax_type_source": "model.attention_pattern.softmax_type",
+  "tie_word_embeddings": false,
+  "use_cache": true,
+  "use_sliding_window": true,
+  "vocab_size": 150144,
+  "router_score_function": "sigmoid",
+  "torch_dtype": "bfloat16",
+  "pad_token_id": 150001
+}

flint-int4.json

@@ -0,0 +1,21 @@
+{
+  "model_id": "flint-int4",
+  "weight_format": "mlx-affine-int4",
+  "kv_format": "bf16",
+  "max_context": 262144,
+  "checkpoint_files": {
+    "chat_template.jinja": "7940f4ffa3275c36caa4a582f845aaad79da11018b3961e8fbcad6ae29733466",
+    "config.json": "80f577a984db1bd40dfff88457b611d4c13e807704a945616be27f28809eed21",
+    "generation_config.json": "a499c71895e008abd572558a5ad5904feaed92cf2a3b6e2cb0e9cabf03b96ed3",
+    "merges.txt": "30a239f0781dde2668cf0ed0893d0d9c6f6f285127285274c96277fcd68962f7",
+    "model-00000.safetensors": "1a362742a0136c95ed751e2c56d83e63d4ed9ac674984b23b368f105d16cfe7a",
+    "model-00001.safetensors": "12979140fa019042ff5cdec4c0237cc87db13b56428ce7fe093dd9d33893ea32",
+    "model-00002.safetensors": "01805c6b882fdec008b0184ec68e7516102205b521e63ca5126f9d52b9aed87b",
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